Relevant bibliographies by topics / Selection of keywords / Journal articles

To see the other types of publications on this topic, follow the link: Selection of keywords.

Journal articles on the topic 'Selection of keywords'

Author: Grafiati

Published: 24 April 2022

Last updated: 18 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Selection of keywords.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

Ji, Li, Pan Rui, and Wang Hansheng. "Selection of Best Keywords." Journal of Interactive Advertising 11, no. 1 (2010): 27–35. http://dx.doi.org/10.1080/15252019.2010.10722175.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Bing-Xin Du, Bing-Xin Du. "Topic Analysis in LDA Based on Keywords Selection." 電腦學刊 32, no. 4 (2021): 001–12. http://dx.doi.org/10.53106/199115992021083204001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Lu, Wei, Zhifeng Liu, Yong Huang, Yi Bu, Xin Li, and Qikai Cheng. "How do authors select keywords? A preliminary study of author keyword selection behavior." Journal of Informetrics 14, no. 4 (2020): 101066. http://dx.doi.org/10.1016/j.joi.2020.101066.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Dagli, Namrata. "The KEYWORDS Framework: Standardizing Keyword Selection for Improved Big Data Analytics in Biomedical Literature." Journal of International Society of Preventive and Community Dentistry 14, no. 5 (2024): 349–51. http://dx.doi.org/10.4103/jispcd.jispcd_129_24.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Sivakumar, Sasidharan, and Gowardhan Sivakumar. "Weightage Identified Network of Keywords Technique: A Structured Approach in Identifying Keywords for Systematic Reviews." Healthcare Informatics Research 31, no. 1 (2025): 48–56. https://doi.org/10.4258/hir.2025.31.1.48.

Full text

Abstract:

Objectives: The objective of this study was to develop the weightage identified network of keywords (WINK) technique for selecting and utilizing keywords to perform systematic reviews more efficiently. This technique aims to improve the thoroughness and precision of evidence synthesis by employing a more rigorous approach to keyword selection. Methods: The WINK methodology involves generating network visualization charts to analyze the interconnections among keywords within a specific domain. This process integrates both computational analysis and subject expert insights to enhance the accuracy and relevance of the findings. In the example considered, the networking strength between the contexts of environmental pollutants with endocrine function as Q1 and systemic health with oral health-related terms as Q2 was examined, and keywords with limited networking strength were excluded. Utilizing the Medical Subject Headings (MeSH) terms identified from the WINK technique, a search string was built and compared to an initial search with fewer keywords. Results: The application of the WINK technique in building the search string yielded 69.81% and 26.23% more articles for Q1 and Q2, respectively, compared to conventional approaches. This significant increase demonstrates the technique's effectiveness in identifying relevant studies and ensuring comprehensive evidence synthesis. Conclusions: By prioritizing keywords with higher weightage and utilizing network visualization charts, the WINK technique ensures comprehensive evidence synthesis and enhances accuracy in systematic reviews. Its effectiveness in identifying relevant studies marks a significant advancement in systematic review methodology, offering a more robust and efficient approach to keyword selection.

APA, Harvard, Vancouver, ISO, and other styles

Strube, Tom, Tom Nowak, Mariia Pokotylo, and Bernd Kuhlenkötter. "Reliable and Content-specific Support for Keyword Selection through AI and Statistics." Current Directions in Biomedical Engineering 10, no. 4 (2024): 627–30. https://doi.org/10.1515/cdbme-2024-2154.

Full text

Abstract:

Abstract Due to the recent popularity and availability of Large Language Models (LLMs), creators of educational materials can more efficiently extract keywords for use in personalised learning recommendations than ever before. However, due to the LLMs’ probabalistic nature, the automation of the otherwise labour-intense keyword extraction inherits the risk of biased and non-explainable results. In this research, we present an original framework to enhance keyword selection based on content title and description through a novel, reliability-sensitive, keyword selection algorithm. For this, we collected 38 potential keywords (together with their definitions) for five topics on dementia care from previous studies, together with two contents per topic. To assess the new method’s support in extracting keywords, we then prompted 5 human experts and 3 LLMs (using Retrieval Augmented Generation (RAG) for the keyword definitions) to select keywords to include and exclude for each content. Using Krippendorf’s a metric, we then were able to adapt to the present agreement, and to reliably select keyword sets for inclusion and exclusion for each content individually. Last, we compared these LLM-based keyword sets with those selected by humans to assess the impact of the adaptive keyword selection algorithm. Overall, the results suggest that LLMs generally struggle with the task (66% of extraction attempts either contained hallucinated or did not return any keywords), and topic-wise internal agreement is low ( a=0.59 (0.42) for model 3 (using RAG) on average; a=0.68 for human raters). Due to this, the reliable keyword selection resulted in a median set of 6|27 keywords for inclusion|exclusion per topic, with many of those keywords being within the benchmark keyword sets selected by human raters. To conclude, this approach shows effective in adapting to different levels of agreement in extracting keywords.

APA, Harvard, Vancouver, ISO, and other styles

Morozov, D. A., A. V. Glazkova, M. A. Tyutyulnikov, and B. L. Iomdin. "Keyphrase Generation for Abstracts of the Russian-Language Scientific Articles." NSU Vestnik. Series: Linguistics and Intercultural Communication 21, no. 1 (2023): 54–66. http://dx.doi.org/10.25205/1818-7935-2023-21-1-54-66.

Full text

Abstract:

In this paper, we attempted to adapt various well-known algorithms for keyword selection to a very specific text corpus containing abstracts of Russian academic papers from the mathematical and computer science domain. We faced several challenges including the lack of research in the field of keyword extraction for Russian, the absence of large text corpora of academic abstracts, and the insufficient length of the abstracts. Keywords are often found in the full text of the paper and can simply be highlighted, whereas abstracts may not include keywords in an explicit form. At the same time, it is abstracts that are usually in the public domain, so automatic selection of keywords from them would significantly facilitate the process of searching for papers. Moreover, an automatic keyword selection would be useful even for papers for which keywords were already specified by the authors. During the study, we found that authors often use unique keywords for their papers. This complicates their systematization on a given topic. For visualizing the results, we have created a web resource keyphrases.mca.nsu.ru, where young/beginning scholars can form an approximate list of keywords for their first research paper.

APA, Harvard, Vancouver, ISO, and other styles

DURANT, ALAN. "‘The significance is in the selection’: identifying contemporary keywords." Critical Quarterly 50, no. 1-2 (2008): 122–42. http://dx.doi.org/10.1111/j.1467-8705.2008.00815.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Kang, Woojin, Myeong Lee, Jongwook Lee, and Sanghee Oh. "AI or Authors?: A Comparative Analysis of BERT and ChatGPT's Keyword Selection in Digital Divide Studies." Proceedings of the Association for Information Science and Technology 60, no. 1 (2023): 1004–6. http://dx.doi.org/10.1002/pra2.926.

Full text

Abstract:

ABSTRACTAuthor keywords attached to academic papers are often used in intellectual structure analysis. However, the length and selection criteria for keywords vary across publications and, even some publishers do not require keywords for their articles. To explore the opportunity to overcome such keyword inconsistency issues, this study compared author keywords from papers focused on the digital divide with those extracted using the language models, BERT and ChatGPT. Preliminary findings reveal structural variations across the keyword networks and suggest a potential need to revisit keyword‐based research. Future research will expand the scope of the dataset and conduct an in‐depth analysis of keyword patterns across the language models.

APA, Harvard, Vancouver, ISO, and other styles

Mäki-Tanila, Asko, and Leah Webster. "Heritability, SNP, inbreeding, dairy cattle, genomic selection-and other keywords." Journal of Animal Breeding and Genetics 136, no. 1 (2018): 1–2. http://dx.doi.org/10.1111/jbg.12377.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Lian, Ying, Xiaofeng Lin, Xuefan Dong, and Shengjie Hou. "A Normalized Rich-Club Connectivity-Based Strategy for Keyword Selection in Social Media Analysis." Sustainability 14, no. 13 (2022): 7722. http://dx.doi.org/10.3390/su14137722.

Full text

Abstract:

In this paper, we present a study on keyword selection behavior in social media analysis that is focused on particular topics, and propose a new effective strategy that considers the co-occurrence relationships between keywords and uses graph-based techniques. In particular, we used the normalized rich-club connectivity considering the weighted degree, closeness centrality, betweenness centrality and PageRank values to measure a subgroup of highly connected “rich keywords” in a keyword co-occurrence network. Community detection is subsequently applied to identify several keyword combinations that are able to accurately and comprehensively represent the researched topic. The empirical results based on four topics and comparing four existing models confirm the performance of our proposed strategy in promoting the quantity and ensuing the quality of data related to particular topics collected from social media. Overall, our findings are expected to offer useful guidelines on how to select keywords for social media-based studies and thus further increase the reliability and validity of their respective conclusions.

APA, Harvard, Vancouver, ISO, and other styles

Ma, Jianbing, Xi Wu, and Lihong Huang. "The Use of Artificial Intelligence in Literature Search and Selection of the PubMed Database." Scientific Programming 2022 (March 22, 2022): 1–9. http://dx.doi.org/10.1155/2022/8855307.

Full text

Abstract:

Background. A vast number of research papers are published every day on PubMed, making it difficult for scientists to retrieve relevant articles in a timely manner. Keyword-based searches are currently the most popular method, but determining a suitable set of keywords can be challenging. Moreover, searches based on keywords typically retrieve many irrelevant papers. We developed a natural language processing (NLP)-based keyword augmentation and screening (NKAS) method to help scientists easily refine their keywords in topic searches. This method can extract meaningful candidate keywords from the titles and abstracts of an initial search using prior knowledge, knowledge graphs, and machine learning. The method was tested on three atrial fibrillation topics. When the NKAS was applied, the number of remaining papers was less than those in the original search but showed much higher precision (73.83% vs. 34.6%) and recall (98.4% vs. 59.93%) compared with those of the original search results. In conclusion, the NKAS method showed that NLP and other artificial intelligence techniques can help enhance both the search comprehensiveness and accuracy. These results suggest a great potential for the application of artificial intelligence methods in medical publication searches and other text-based applications.

APA, Harvard, Vancouver, ISO, and other styles

Zhang, Yu, Yin Li, and Yifan Wang. "Efficient Public Key Encryption with Disjunctive Keywords Search Using the New Keywords Conversion Method." Information 9, no. 11 (2018): 272. http://dx.doi.org/10.3390/info9110272.

Full text

Abstract:

Public key encryption with disjunctive keyword search (PEDK) is a public key encryption scheme that allows disjunctive keyword search over encrypted data without decryption. This kind of scheme is crucial to cloud storage and has received a lot of attention in recent years. However, the efficiency of the previous scheme is limited due to the selection of a less efficient converting method which is used to change query and index keywords into a vector space model. To address this issue, we design a novel converting approach with better performance, and give two adaptively secure PEDK schemes based on this method. The first one is built on an efficient inner product encryption scheme with less searching time, and the second one is constructed over composite order bilinear groups with higher efficiency on index and trapdoor construction. The theoretical analysis and experiment results verify that our schemes are more efficient in time and space complexity as well as more suitable for the mobile cloud setting compared with the state-of-art schemes.

APA, Harvard, Vancouver, ISO, and other styles

Antón-Haro, Carles, and Xavier Mestre. "Learning and Data-driven Beam Selection for mmWave Communications: an Angle of Arrival-based Approach." IEEE Access (Early Access) 7 (February 1, 2019): 20404–15. https://doi.org/10.1109/ACCESS.2019.2895594.

Full text

Abstract:

This paper investigates how angle-of-arrival (AoA) information can be exploited by deep-/machine-learning approaches to perform beam selection in the uplink of a mmWave communication system. Specifically, we consider a hybrid beamforming setup comprising an analog beamforming (ABF) network with adjustable beamwidth followed by a zero-forcing baseband processing block. The goal is to select the optimal configuration for the ABF network based on the estimated AoAs of the various user equipments. To that aim, we consider 1) two supervised machine-learning approaches: k -nearest neighbors (kNN) and support vector classifiers (SVC); and 2) a feed-forward deep neural network: the multilayer perceptron. We conduct an extensive performance evaluation to investigate the impact of the quality of CSI estimates (AoAs and powers) obtained via the Capon or MUSIC methods, fluctuations in the received power, the size of the training dataset, the total number of analog beamformers in the codebook, their beamwidth, or the number of active users. The computer simulations reveal that performance, in terms of classification accuracy and sum-rate is very close to that achievable via exhaustive search.

APA, Harvard, Vancouver, ISO, and other styles

Wang, Bixi, Wenbin Wu, Wenfeng Zheng, Qilong Gong, and Lirong Yin. "Search Engine Optimization Method of Online Course Management Platform." Journal of Physics: Conference Series 2138, no. 1 (2021): 012023. http://dx.doi.org/10.1088/1742-6596/2138/1/012023.

Full text

Abstract:

Abstract This study proposes a method of keyword selection in search engine optimization to improve the accuracy of search engine and website rankings. To promote the development of scientific and technological innovation, this paper selects the innovation and entrepreneurship curriculum platform as the experimental object. By comparing different search engine optimization strategies, the keyword search volume data is analyzed based on “comprehensive index evaluation method”, which analyzes and calculates the change of keyword search comparison and the number of related keywords. Therefore, this paper will use the comprehensive index evaluation method for keyword selection, and establish a set of practical keyword selection method combined with the actual situation of innovation and enterprise curriculum platform. The results show that this program can improve search accuracy and website ranking.

APA, Harvard, Vancouver, ISO, and other styles

Bagot, Kathleen L., Christopher F. Bladin, and Dominique A. Cadilhac. "A cautionary note to authors on the selection and use of keywords." Journal of Telemedicine and Telecare 23, no. 8 (2016): 752–53. http://dx.doi.org/10.1177/1357633x16686549.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Ghosh, Sandip. "Modification of Keyword Selection Process to Get Least List with Weighted Keywords by using Essence of both ‘Baxendale’ and ‘Swanson’ Experiment." International Journal of Computer Applications 177, no. 12 (2019): 29–35. http://dx.doi.org/10.5120/ijca2019919534.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Woo, Hyekyung, Hyeon Sung Cho, Eunyoung Shim, et al. "Identification of Keywords From Twitter and Web Blog Posts to Detect Influenza Epidemics in Korea." Disaster Medicine and Public Health Preparedness 12, no. 3 (2017): 352–59. http://dx.doi.org/10.1017/dmp.2017.84.

Full text

Abstract:

AbstractObjectiveSocial media data are a highly contextual health information source. The objective of this study was to identify Korean keywords for detecting influenza epidemics from social media data.MethodsWe included data from Twitter and online blog posts to obtain a sufficient number of candidate indicators and to represent a larger proportion of the Korean population. We performed the following steps: initial keyword selection; generation of a keyword time series using a preprocessing approach; optimal feature selection; model building and validation using least absolute shrinkage and selection operator, support vector machine (SVM), and random forest regression (RFR).ResultsA total of 15 keywords optimally detected the influenza epidemic, evenly distributed across Twitter and blog data sources. Model estimates generated using our SVM model were highly correlated with recent influenza incidence data.ConclusionsThe basic principles underpinning our approach could be applied to other countries, languages, infectious diseases, and social media sources. Social media monitoring using our approach may support and extend the capacity of traditional surveillance systems for detecting emerging influenza. (Disaster Med Public Health Preparedness. 2018; 12: 352–359)

APA, Harvard, Vancouver, ISO, and other styles

Shirakura, Yumi, and Lei Li. "An Improved Elite Correlation Selection Using the Correlation Tournament Selection in Genetic Algorithm." Information 27, no. 2 (2024): 95–110. http://dx.doi.org/10.47880/inf2702-01.

Full text

Abstract:

In this paper, we propose an improved Elite Correlation Selection using the Correlation Tournament Selection in Genetic Algorithm. The new algorithm is applied to a Variable Knapsack Problem and shows a better performance. Keywords: Correlation Tournament Selection, Improved Elite Correlation Selection, Genetic Algorithm, Variable Knapsack Problem

APA, Harvard, Vancouver, ISO, and other styles

Hwang, Jina, Daiki Min, and Alex Jiyoung Kim. "Selection of Effective Keywords for Online Search Advertising Using Attribute-based Clustering Analysis." Journal of the Korean Institute of Industrial Engineers 45, no. 5 (2019): 451–64. http://dx.doi.org/10.7232/jkiie.2019.45.5.451.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Bentley, R. Alexander. "Random Drift versus Selection in Academic Vocabulary: An Evolutionary Analysis of Published Keywords." PLoS ONE 3, no. 8 (2008): e3057. http://dx.doi.org/10.1371/journal.pone.0003057.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Sindi, Emilia. "DEVELOPMENT OF E-SERVQUAL DIMENSIONS FOR BANKING." Praxis : Jurnal Sains, Teknologi, Masyarakat dan Jejaring 6, no. 2 (2024): 178–94. http://dx.doi.org/10.24167/praxis.v6i2.11630.

Full text

Abstract:

E-SERVQUAL is a tool used to measure customer service quality. This research aims to conduct a literature review on the dimensions and indicators of service quality specifically used for digital banking services. The research method has 3 stages, namely : First, Planning contains the Explanation of Research Objectives, Second, Research Identification contains the Determination of Criteria and Selection of Research Articles, Third, Selection of Basic Studies contains Selection of research articles using predetermined criteria keywords. The keyword used is "e-SERVQUAL". There are 2 selection criteria, namely the exclusion criteria, which include : Research journals cannot be downloaded, Research journals are not full text, Research journals that use e-SERVQUAL are not in the banking sector and Inclusion criteria are, Research articles that answer research questions, Research articles identified using keywords. The results of this study are : e-SERVQUAL dimensions specifically for the quality of banking services are Efficiency, Reliability, Responsiveness, Personal needs, Site organization, Fulfilment, Security/trust, Ease of use and Privacy. Not all journals regarding banking e-SERVQUAL include indicators and dimensions. Of the 10 journals studied, only 3 journals produced a significant positive value between the e-SERVQUAL variable and e-Customer Satisfaction.

APA, Harvard, Vancouver, ISO, and other styles

Bahir, Eitan, and Ammatzia Peled. "Keyword Selection Methodology for Identification of Major Events using Social Networks." International Journal of Information Systems for Crisis Response and Management 7, no. 1 (2015): 42–60. http://dx.doi.org/10.4018/ijiscram.2015010103.

Full text

Abstract:

The understanding of information communicated over social networks enables quick tracking of real events as they occur. In other cases, where the “crowd” factor is on high note, it is possible to identify events and to evaluate their magnitude, even before they occur. A full assessment of the content generated by social network users is very complex. This, due to the gigantic volume of data communicated over the net at any given time. Using few, well defined, keywords for the detection of relevant data reduces, considerably, the processing effort and expedites the identification of events, such as wildfire, floods or terror attacks. The preliminary results here has shown that by using keywords, specially tailored for different types of major events, one may detect ‘abnormal' surges of social network activities. Also, presented are threshold values, in terms of magnitude and frequency designed for early detection of these events. This approach is the basis for the development of algorithms for early identification real time systems and for geographical tracking of major events.

APA, Harvard, Vancouver, ISO, and other styles

Bologna, William J., Jayne B. Ahlstrom, and Judy R. Dubno. "Contributions of Voice Expectations to Talker Selection in Younger and Older Adults With Normal Hearing." Trends in Hearing 24 (January 2020): 233121652091511. http://dx.doi.org/10.1177/2331216520915110.

Full text

Abstract:

Focused attention on expected voice features, such as fundamental frequency (F0) and spectral envelope, may facilitate segregation and selection of a target talker in competing talker backgrounds. Age-related declines in attention may limit these abilities in older adults, resulting in poorer speech understanding in complex environments. To test this hypothesis, younger and older adults with normal hearing listened to sentences with a single competing talker. For most trials, listener attention was directed to the target by a cue phrase that matched the target talker’s F0 and spectral envelope. For a small percentage of randomly occurring probe trials, the target’s voice unexpectedly differed from the cue phrase in terms of F0 and spectral envelope. Overall, keyword recognition for the target talker was poorer for older adults than younger adults. Keyword recognition was poorer on probe trials than standard trials for both groups, and incorrect responses on probe trials contained keywords from the single-talker masker. No interaction was observed between age-group and the decline in keyword recognition on probe trials. Thus, reduced performance by older adults overall could not be attributed to declines in attention to an expected voice. Rather, other cognitive abilities, such as speed of processing and linguistic closure, were predictive of keyword recognition for younger and older adults. Moreover, the effects of age interacted with the sex of the target talker, such that older adults had greater difficulty understanding target keywords from female talkers than male talkers.

APA, Harvard, Vancouver, ISO, and other styles

Ziqkra, Nobi Albion, and Yeka Hendriyani. "SISTEM PENDUKUNG KEPUTUSAN SELEKSI PSB BERBASIS WEB MENGGUNAKAN METODE ANALITYC NETWORK PROCESS." Voteteknika (Vocational Teknik Elektronika dan Informatika) 7, no. 1 (2019): 206. http://dx.doi.org/10.24036/voteteknika.v7i1.103879.

Full text

Abstract:

New Student Admission Selection is a process in receiving students with structured registration flow (acceptance and selection) by fulfilling the requirements. This system was developed based on Web, using the programming language PHP (Hypertext Processor) and based on Laravel and Mysql Framework as a Database Management System (DBMS). Analystc Network Process (ANP) is one method that has a relationship between elements that can determine the results in the process of selecting new prospective students. In a system developed by the Analysis Process Network method based on Decision Support Systems can help in the process of selecting new students who are supported more accurately. Results that can be obtained from this system for the school that can be accessed in the process of registering and selecting prospective students. Keywords: Decision Support System, PSB Selection, Analysis Network Process (ANP) Method, PHP, Laravel, MySQL.

APA, Harvard, Vancouver, ISO, and other styles

Fitriyani, Anisah, Rachman Komarudin, Yana Iqbal Maulana, and Ali Haidir. "Penerapan Metode Weighted Product (WP) Pada Pemilihan Supplier Kimia Terbaik PT. Mayer Indah Indonesia Bogor." Bianglala Informatika 8, no. 1 (2020): 36–43. http://dx.doi.org/10.31294/bi.v8i1.8106.

Full text

Abstract:

PT. Mayer Indah Indonesia is a company engaged in the field of textile. In order to face business competition, there are several problems that often arise, namely not having supplier selection procedures. The supplier selection conducted by the company's purchasing department at this time is a direct survey and price comparison. supplier distance with the company so that shipping costs are high and ease of negotiation and payment systems. So the supplier selection needs to be done by using the right method in accordance with company standards, namely weighted product (wp) with the aim of providing information to companies about alternative methods that can be used in objectively selecting suppliers and providing input on the performance of suppliers. Keywords: Selection, Chemical Supplier, Best, Weighted Product.

APA, Harvard, Vancouver, ISO, and other styles

Farooqui, Mrs Mahvish, and Dr Ashwini Kshirsagar. "Review Paper- Modern Recruitment and Selection Process." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (2024): 1–10. http://dx.doi.org/10.55041/ijsrem28057.

Full text

Abstract:

This research paper is about Modern recruitment and selection process, in my research as I go further, I know about the many methods that is uses for hiring and selecting employees. The corporation has recently begun to view its human capital as its most significant asset. The organization closely monitors the recruitment process since it fosters the organization's advancement and growth. The term "recruitment" is now used to describe human resource logistics. Human resource logistics are now referred to as "recruitment". This paper's primary goal is to list standard procedures that businesses use when hiring and choosing employees. This paper focuses on the different methods of recruitment and selecting process, and choosing the right man for right job. Keywords: recruitment, human capital, organization, selection, employees, advancement and growth

APA, Harvard, Vancouver, ISO, and other styles

Sutrisno, Sutrisno, Sutikno Wahyu Hidayat, Avando Bastari, and Okol Sri Suharyo. "APPLICATION OF FUZZY MULTIPLE CRITERIA DECISION MAKING (MCDM) IN SELECTION OF PROSPECTIVE EMPLOYEES." JOURNAL ASRO 10, no. 1 (2019): 10. http://dx.doi.org/10.37875/asro.v10i1.86.

Full text

Abstract:

The recruitment process is the initial process that determines the sustainability and success of a company. In the process, effective and efficient selection tests are the key. The level of professionalism and academic ability of prospective employees are two things that are very much needed as a reference and criteria that are used as selection factors in the recruitment process. This study uses the Fuzzy Multiple Criteria Decision Making (MCDM) method by solving problems using the Simple Addictive Weighting Method (SAW). The use of this method is expected to produce an electronic selection test application that can help the recruitment team in carrying out the selection process at PT. X. The results of the research are in the form of prospective employee selection test applications to simplify the process of selecting prospective employees according to their needs.  Keywords: Selection Test, Application, FMCDM, SAW

APA, Harvard, Vancouver, ISO, and other styles

Galkina, Natalia P. "KEYWORDS IN TERMS OF FREQUENCY AND THEMATIC RELEVANCE." Vestnik of Kostroma State University 28, no. 3 (2023): 180–85. http://dx.doi.org/10.34216/1998-0817-2022-28-3-180-185.

Full text

Abstract:

The article focuses on the role of keywords, their statistical data for determining the thematic dominance when working with large arrays of texts. The description is based on the materials of a typological linguistic study of the texts of military songs, the period of 1939-1945, in English and Russian. The selection of keywords was carried out on the basis of semantic, lexical-syntactic, morphological analysis, taking into account the frequency of their use. The frequency of using a word may not always be a defining feature for marking it as a keyword. Within the framework of one text, the keywords may be words that help understand the sense, unravel its deep meaning, remember the content. When combining a large number of texts, by authorship, chronology, thematic, stylistic or other relatedness, the frequency of keywords matters and can serve as a determining factor, a classification criterion. This paper shows that the results of the thematic distribution of texts based on the semantic analysis of their content correspond to the results of statistical analysis of the keywords and are confirmed by machine quantitative indicators of their frequency. The results are relevant for both Russian-language and English- language materials.

APA, Harvard, Vancouver, ISO, and other styles

Yao, Xu, Yu Yang, Yi Jing Fu, Yu Lin Li, and Guo Shi Wu. "Hot Issues Detection on Weibo Based on Social Network Analysis." Advanced Materials Research 846-847 (November 2013): 1818–25. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1818.

Full text

Abstract:

Weibo is a leading twitter-like microblog service in China, acting as the key barometer of social changes. This paper proposes an innovative model, which automatically detects hot issues on Weibo based on social network analysis instead of search-based approaches. Three stages are consecutively collaborated to discover the hot issues and each issue was presented by a group of distinguished keywords as outcome of the model, i.e., firstly self-revised opinion leaders list construction, secondly keywords selection according to a weighting criterion, and finally keyword co-occurrence network building and event detection through community detection on the network.

APA, Harvard, Vancouver, ISO, and other styles

IZATULLA, YANGIBAEVICH ESHMATOV, MAYLIBAEVNA SVANKULOVA AYSULUV, and KHASANOVICH DAVRONOV BAKHTIYOR. "Fundamentals of Creating New Drives and Lines from The Gene Fund of Angor Goats." International Journal of Academic Research in Business, Arts & Science ( IJARBAS.COM ) 3, no. 5 (2021): 75–81. https://doi.org/10.5281/zenodo.4781570.

Full text

Abstract:

The article provides ideas on the creation of herds and lines using the gene pool of angora goats, the use of selection methods based on selection work, and the assessment and testing of goat breeding.   Keywords: selection, gene pool, angora breed, pure breed, selection, sorting, growth, development, productivity, live weight, nutrition, feed unit,

APA, Harvard, Vancouver, ISO, and other styles

KIM, Youah. "Weighted network analysis of inter-relationship between major courses and keyword coupling based on Self-Directed Major Selection: Using the Curriculum Profiling Method." Korean Society for Educational Evaluation 38, no. 1 (2025): 25–55. https://doi.org/10.31158/jeev.2025.38.1.25.

Full text

Abstract:

This study aims to examine whether there have been changes in the evolving interrelationship between tracks (majors) and the extent of interconnectivity among course-related keywords in accordance with the Ministry of Education's policy (2024) to expand the Self-Directed Major Selection, which promotes learner-centered convergence education and enhances the flexibility of the major system in universities. To this end, a comparative analysis was conducted to examine interdisciplinary integration tendencies and the degree of keyword association by analyzing a total of 13,567 major curriculum guides and 1,805 keywords across 6,478 courses from H University’s major curriculum over the 2018 to 2024 academic years. The course profile keywords associated with the tracks for each academic year were used to quantify the thematic connection between tracks, based on the extent to which the same keywords were similarly used across courses within two tracks, employing the “Curriculum Profiling Method.” The principal findings of the study are as follows: First, there was a structural change in the relationships between tracks in accordance with the Self-Directed Major Selection. Second, the study affirms that current academic trends, as well as societal and industrial imperatives, are increasingly reflected in the shared thematic areas across major curricula. Third, it underscores the necessity for a more nuanced, data-driven approach to research, along with the establishment of supportive frameworks to facilitate the interdisciplinary integration of disparate academic fields.

APA, Harvard, Vancouver, ISO, and other styles

Комарица, В. Н. "Informational keywords analysis in scientific articles." Научно-техническая информация. Серия 1: Организация и методика информационной работы, no. 9 (September 1, 2023): 9–15. http://dx.doi.org/10.36535/0548-0019-2023-09-2.

Full text

Abstract:

Рассматриваются методы извлечения ключевых слов и реферирования научного текста; показано, что автоматизированные методы реферирования обеспечивают наиболее точную передачу содержания текста и не требуют дополнительного использования лексических средств. Описывается подготовка корпусов текстов для анализа. Ключевые слова, полученные статистическим методом, сопоставляются с ключевыми словами, выделенными авторами. Основным критерием для определения ключевых слов стала частотность их появления в тексте, которая вычислялась с помощью семантико-статистического анализа текста advego.com. Установлено, что все ключевые слова имеют устойчивые дефиниции и на 96% соответствуют терминологии отрасли; ключевые слова, выделенные авторами, имеют до 30% несовпадений с ключевыми словами, полученными статистическим методом. Characteristics, meaning and methods for extracting keywords are considered. As a result of a review of modern techniques for extracting keywords and summarizing a scientific text, it has been established that when using automated methods, a semantic compression of a scientific text is achieved, which provides the most accurate description of the meaning of the abstracted scientific text using minimal lexical means. The article describes the stages of preparing text corpora and the subsequent selection of keywords using a statistical method. The obtained statistical results are compared with the keywords selected by the authors during the preparation of the article. This article discusses the specifics of applying the statistical approach to extract keywords from scientific and technical texts. As the main criterion for solving the task, the frequency determined by the software product for semantic-statistical analysis of the text advego.com was adopted. The results obtained are presented graphically in the form of a cloud of keywords and tabularly in the form of a comparison of the results of the author's and statistical methods for extracting keywords. Established: all keywords have stable definitions and 96% correspond to industry terminology; the keywords highlighted by the authors have a discrepancy with those obtained by the statistical method within up to 30%; the use of keywords for summarizing the text ensures that it corresponds to the content of the article.

APA, Harvard, Vancouver, ISO, and other styles

Naurizov, TK Ph.D., GT Rzambetova, and A.S Erejepov. "Weight and Morphological Properties of Eggs Selected for Experimental Incubation." International Journal of Academic Research in Business, Arts & Science (IJARBAS) ® 3, no. 12 (2021): 1–5. https://doi.org/10.5281/zenodo.5801364.

Full text

Abstract:

This article provides information on the supply of poultry products, eggs and egg products, increasing the number of poultry and increasing their productivity, the selection of eggs for incubation. Keywords: eggs, poultry, incubation, selection, products, protein, yolk, shell,

APA, Harvard, Vancouver, ISO, and other styles

Park, Mi Jeong, and Ju Han. "Exploring the Core Keywords of the Secondary School Home Economics Teacher Selection Test: A Mixed Method of Content and Text Network Analyses." Family and Environment Research 60, no. 4 (2022): 623–41. http://dx.doi.org/10.6115/fer.2022.042.

Full text

Abstract:

The purpose of this study was to explore the trends and core keywords of the secondary school home economics teacher selection test using content analysis and text network analysis. The sample comprised texts of the secondary school home economics teacher 1st selection test for the 2017-2022 school years. Determination of frequency of occurrence, generation of word clouds, centrality analysis, and topic modeling were performed using NetMiner 4.4. The key results were as follows. First, content analysis revealed that the number of questions and scores for each subject (field) has remained constant since 2020, unlike before 2020. In terms of subjects, most questions focused on ‘theory of home economics education’, and among the evaluation content elements, the highest percentage of questions asked was for ‘home economics teaching·learning methods and practice’. Second, the network of the secondary school home economics teacher selection test covering the 2017-2022 school years has an extremely weak density. For the 2017- 2019 school years, ‘learning’, ‘evaluation’, ‘instruction’, and ‘method’ appeared as important keywords, and 7 topics were extracted. For the 2020-2022 school years, ‘evaluation’, ‘class’, ‘learning’, ‘cycle’, and ‘model’ were influential keywords, and five topics were extracted. This study is meaningful in that it attempted a new research method combining content analysis and text network analysis and prepared basic data for the revision of the evaluation area and evaluation content elements of the secondary school home economics teacher selection test.

APA, Harvard, Vancouver, ISO, and other styles

Reddy, A. Chandra Obula, and K. Madhavi. "Hierarchy based firefly optimized K-means clustering for complex question answering." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 1 (2020): 264. http://dx.doi.org/10.11591/ijeecs.v17.i1.pp264-272.

Full text

Abstract:

Complex Question Answering (CQA) is commonly used for answering community questions which requires human knowledge for answering them. It is essential to find complex question answering system for avoiding the complexities behind the question answering system. In the present work, we proposed Hierarchy based Firefly Optimized k-means Clustering (HFO-KC) method for complex question answering. Initially, the given input query is preprocessed. It eliminates the way of misclassification when comparing the strings. In order to enhance the answer selection process, the obtained keywords are mapped into the candidate solution. After mapping, the obtained keywords are segmented. Each segmentation forms a new query for answer selection and various number of answers selected for each query. Okapi-25 similarity computation is utilized for the process of document retrieval. Then the answers selected are classified with K means clustering which forms the hierarchy for each answer. Finally the firefly optimization algorithm is used for selecting the best quality of answer from the hierarchy.

APA, Harvard, Vancouver, ISO, and other styles

A., Chandra Obula Reddy, and Madhavi K. "Hierarchy based firefly optimized k-means clustering for complex question answering." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 17, no. 1 (2020): 264–72. https://doi.org/10.11591/ijeecs.v17.i1.pp264-272.

Full text

Abstract:

Complex Question Answering (CQA) is commonly used for answering community questions which requires human knowledge for answering them. It is essential to find complex question answering system for avoiding the complexities behind the question answering system. In the present work, we proposed Hierarchy based Firefly Optimized k-means Clustering (HFO-KC) method for complex question answering. Initially, the given input query is preprocessed. It eliminates the way of misclassification when comparing the strings. In order to enhance the answer selection process, the obtained keywords are mapped into the candidate solutions. After mapping, the obtained keywords are segmented. Each segmentation forms a new query for answer selection and various number of answers selected for each query. Okapi-25 similarity computation is utilized for the process of document retrieval. Then the answers selected are classified with K means clustering which forms the hierarchy for each answer. Finally the firefly optimization algorithm is used for selecting the best quality of answer from the hierarchy.

APA, Harvard, Vancouver, ISO, and other styles

Malysheva, A. V., D. V. Kosyakov, and A. E. Guskov. "Methodology for selecting publications for scientific reviews." Scientific and Technical Libraries, no. 11 (December 14, 2022): 56–81. http://dx.doi.org/10.33186/1027-3689-2022-11-56-81.

Full text

Abstract:

The task of searching and selecting publications for scientific reviews is located on the intersection of science and art. The increasing publication flow has made it all harder to reveal relevant and important papers for scientific community. The methodological approach being described enables to organize selecting publications for reviews while decreasing accidental mistakes and subjective declinations; it is to structure primary selection with its further expansion, reduction and analysis, that can be accomplished in several iterations resulting in the final selection, its analytical features and formalized protocol. The authors describe the method structure and provide the example for the subject “embedded librarian”. This example demonstrates the advantages of the approach as compared to the traditional search by keywords: various variants of search strategies are applicable; their repeatability and exhaustiveness of resulted selection. The method can be applied in academic and sci-tech libraries to develop their services supporting science and research.

APA, Harvard, Vancouver, ISO, and other styles

Zhang, Mingliang, Zhenyu Li, Pei Zhang, Yi Zhang, and Xiangyang Luo. "A Novel High-Capacity Behavioral Steganographic Method Combining Timestamp Modulation and Carrier Selection Based on Social Networks." Symmetry 14, no. 1 (2022): 111. http://dx.doi.org/10.3390/sym14010111.

Full text

Abstract:

Behavioral steganography is a method used to achieve covert communication based on the sender’s behaviors. It has attracted a great deal of attention due to its robustness and wide application scenarios. Current behavioral steganographic methods are still difficult to apply in practice because of their limited embedding capacity. To this end, this paper proposes a novel high-capacity behavioral steganographic method combining timestamp modulation and carrier selection based on social networks. It is a steganographic method where the embedding process and the extraction process are symmetric. When sending a secret message, the method first maps the secret message to a set of high-frequency keywords and divides them into keyword subsets. Then, the posts containing the keyword subsets are retrieved on social networks. Next, the positions of the keywords in the posts are modulated as the timestamps. Finally, the stego behaviors applied to the retrieved posts are generated. This method does not modify the content of the carrier, which ensures the naturalness of the posts. Compared with typical behavioral steganographic methods, the embedding capacity of the proposed method is 29.23∼51.47 times higher than that of others. Compared to generative text steganography, the embedding capacity is improved by 16.26∼23.94%.

APA, Harvard, Vancouver, ISO, and other styles

Ratiasasadara, Pualam Wahyu, Sudarno Sudarno, and Tarno Tarno. "ANALISIS SENTIMEN PENERAPAN PPKM PADA TWITTER MENGGUNAKAN NAIVE BAYES CLASSIFIER DENGAN SELEKSI FITUR CHI-SQUARE." Jurnal Gaussian 11, no. 4 (2022): 580–90. http://dx.doi.org/10.14710/j.gauss.11.4.580-590.

Full text

Abstract:

Dissemination of information related to the implementation of PPKM takes place very quickly, especially on social media networks. Positive and negative news certainly has an impact on public opinion or sentiment on the implementation of PPKM. In this study, the data used is public opinion on Twitter social media with the keyword "PPKM" from November 2, 2021 to November 8, 2021 and obtained data as many as 12,616 tweets which then deleted duplicate data to become 6,465 data. Data classification was performed using Naïve Bayes with Chi-Square feature selection and the data were classified into positive and negative classes. The results of the classification performance using Nave Bayes with Chi-Square feature selection obtained an accuracy of 80% which means that the Nave Bayes classification model with Chi-Square feature selection is quite effective in classifying public opinion on the implementation of PPKM. Keywords: PPKM, Twitter, Sentyment Analysis, Naïve Bayes Classifier, Featured Selection Chi-Square.

APA, Harvard, Vancouver, ISO, and other styles

R, Muthukrishnan, and K. James C. "The Effect of Multicollinearity on Feature Selection." Indian Journal of Science and Technology 17, no. 35 (2024): 3664–68. https://doi.org/10.17485/IJST/v17i35.1876.

Full text

Abstract:

Abstract Objectives: To provide a new LASSO-based feature selection technique that aids in selecting important variables for predicting the response variables in case of multicollinearity. Methods: LASSO is a type of regression method employed to select important covariates for predicting a dependent variable. The traditional LASSO method uses the conventional Ordinary Least Square (OLS) method for this purpose. The Use of the OLS based LASSO approach gives unreliable results if the data deviates from normality. Thus, this study recommends using, a Redescending M-estimator-based LASSO approach. The efficacy of this new method is checked against the ordinary LASSO method using a real dataset and also a simulation study with various levels of sample size (N=100,200,1000), different numbers of predictors (p=10,15,20), and varying degrees of correlation (ρ = 0.96, 0.98, 0.999). Findings: The usual OLS-based LASSO finds it difficult to select important variables when the independent variables are correlated. The Redescending M-estimator-based LASSO addresses at tackling the pitfalls faced by Conventional LASSO methodology. Among other things, the proposed method is far better than the old-fashioned LASSO since it helps to pick out significant factors more effectively, particularly in the presence of multicollinearity. Novelty: The conventional OLS-based LASSO approach selects a greater number of non-significant variables in the presence of multicollinearity. The proposed Redescending M-estimator-based LASSO approach selects the important variables in the presence of multicollinearity. Keywords: Feature Selection, LASSO, MDAE, VIF, Variable Selection

APA, Harvard, Vancouver, ISO, and other styles

Łaziński, Marek. "Klimat i jego pole leksykalne jako słowa klucze współczesnego dyskursu publicznego." Poradnik Językowy, no. 3/2021(782) (March 30, 2021): 7–16. http://dx.doi.org/10.33896/porj.2021.3.1.

Full text

Abstract:

This paper presents increased frequency of vocabulary related to climate and health in public discourse and the position of this vocabulary in Polish and foreign word of the year contests. The fi rst part of the text discusses the notion of keywords, methods of their distinction, and word frequency monitoring works at the University of Warsaw. These works are composed of: 1) monitoring of the frequency of the vocabulary in daily newspapers against a comparable corpus covering 12 months, 2) selection of the word of the month from the most frequent words and describing it in philological terms, 3) word of the year contests using the most frequent words as propositions. The second part of the paper presents individual words from the lexical fi eld of climate selected as words of the month and of the year, such as upał (heat), nawałnica (a storm), smog (smog), drzewo (a tree), puszcza (a forest), klimat (climate). Part three demonstrates words from this lexical fi eld in Polish and foreign word of the year contests. The discussed lexical fi eld was divided into working categories: 1) “What the nature can do to a human being”, e.g. nawałnica (a storm), smog (smog), and 2) “What a human being does to the nature”, e.g. drzewo (a tree), puszcza (a forest) (tree cutting in a forest), klimat (climate) (climate change). The latter category gathers words with a greater symbolic power, more abstract, more appropriate as keywords in the long run. Keywords: keywords – frequency – word of the year contest – signifi cance of a word – climate

APA, Harvard, Vancouver, ISO, and other styles

Anisa, Damayanti Daulay Nisa Debi Yandra Niska. "Penerapan Metode Analytical Hierarchy Process (AHP) Dalam Pemilihan Karyawan Berprestasi Berbasis Web Pada PT. Dambosko Bronton." JUPITER 15, no. 2 (2023): 895–906. https://doi.org/10.5281/zenodo.10068271.

Full text

Abstract:

Human resources are very important in achieving the vision and mission of the company called employees. Currently PT. Dambosko Bronton does not yet have a selection program for outstanding employees so that the lack of employee work motivation, the unavailability of computerized methods and systems that support the selection of outstanding employees are still obstacles so that they are considered less effective. Web-based systems that use AHP should be designed to address these issues, so that systems are built more effectively and speed up the process of selecting outstanding employees. Decision retrieval uses the AHP method because this method uses human perception as the main input. This research aims to facilitate HRD in making the right decisions and accelerate the decision-making process.   Keywords: Decision support system, AHP method, Selection of outstanding employees.

APA, Harvard, Vancouver, ISO, and other styles

Cruz, Fred Torres, EdelfrÃ© Flores VelÃ¡squez, William Eusebio Arcaya Coaquira, Irenio Luis Chagua Aduviri, and Marga Isabel Ingaluque Arapa. "Unsupervised Learning Algorithms for Keyword Extraction in an Undergraduate Thesis." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (2022): 785–90. http://dx.doi.org/10.22214/ijraset.2022.40758.

Full text

Abstract:

Abstract: The amount of data managed in many academic institutions has increased in recent years, particularly in all the research work done by undergraduate students, who simply use empirical techniques for keyword selection, forgetting existing technical methods to assist their students in this process. Information and communication technologies, such as the platform for integrated research and academic work with responsibility (PILAR), which records information about research projects, such as titles, summaries, and keywords in their various modalities, have gained relevance and importance in the management of these. We proved algorithms with these records of research projects that have been analysed in this study, and predictions were made for each of the nine (09) models of unsupervised machine learning algorithms that were implemented for each of the 7430 records from the dataset. The most efficient way of extracting keywords for this dataset was the TF-IDF method, obtaining 72% accuracy and [0.4786, SD 0.0501] in average extraction time for each thesis file processed by this model. Keywords: Keyword extraction, Machine learning, thesis. university students, unsupervised learning

APA, Harvard, Vancouver, ISO, and other styles

Muthukrishnan, R., and C. K. James. "The Effect of Multicollinearity on Feature Selection." Indian Journal Of Science And Technology 17, no. 35 (2024): 3664–68. http://dx.doi.org/10.17485/ijst/v17i35.1876.

Full text

Abstract:

Objectives: To provide a new LASSO-based feature selection technique that aids in selecting important variables for predicting the response variables in case of multicollinearity. Methods: LASSO is a type of regression method employed to select important covariates for predicting a dependent variable. The traditional LASSO method uses the conventional Ordinary Least Square (OLS) method for this purpose. The Use of the OLS based LASSO approach gives unreliable results if the data deviates from normality. Thus, this study recommends using, a Redescending M-estimator-based LASSO approach. The efficacy of this new method is checked against the ordinary LASSO method using a real dataset and also a simulation study with various levels of sample size (N=100,200,1000), different numbers of predictors (p=10,15,20), and varying degrees of correlation (ρ = 0.96, 0.98, 0.999). Findings: The usual OLS-based LASSO finds it difficult to select important variables when the independent variables are correlated. The Redescending M-estimator-based LASSO addresses at tackling the pitfalls faced by Conventional LASSO methodology. Among other things, the proposed method is far better than the old-fashioned LASSO since it helps to pick out significant factors more effectively, particularly in the presence of multicollinearity. Novelty: The conventional OLS-based LASSO approach selects a greater number of non-significant variables in the presence of multicollinearity. The proposed Redescending M-estimator-based LASSO approach selects the important variables in the presence of multicollinearity. Keywords: Feature Selection, LASSO, MDAE, VIF, Variable Selection

APA, Harvard, Vancouver, ISO, and other styles

Siregar, Ahmad Sholihin, Amiur Nuruddin, and Ahmad Qorib. "Konstruksi Tematik Ayat-Ayat Hukum (Konsep dan Dasar Seleksi Ayat Hukum Menurut Al-Tahawi)." Al-Manahij: Jurnal Kajian Hukum Islam 11, no. 1 (2018): 1–12. http://dx.doi.org/10.24090/mnh.v11i1.1262.

Full text

Abstract:

This research begins from the unavailability of basis in selecting legal verses. Therefore, this research aims to construct the foundation of selecting legal verses starting from the selection done by al-Tahawi. This research is normative law research (doctrinaire, dogmatic). The research object is legal verses of al-Tahawi’s selection found in Aḥkām al-Qur’ān. The object is approached by using mimetic and objective approach. There are two foundations used by al-Tahawi in selecting legal verses; textually and contextually. The textual foundation consists of the availability or unavailability of mukallaf action in a verse. The contextual foundation consists of asbāb al-nuzūl and explaining hadis. From the selection basis, the characteristic of legal verses is also constructed textually and contextually. The textual characteristic consists of keywords showing law content such as: lā junāḥa, laisa ḥaraj, ḥurrima, uḥilla, kutiba, farīḍah, al-ṣalāt, al-ṣaum, al-zakāh, al-ḥajj, ar-rafaṡ. Contextual characteristic consists of: asbāb al-nuzūl of a legal verse should be related to a legal matter, and there are explaining hadis showing the existence of law content in certain verses.

APA, Harvard, Vancouver, ISO, and other styles

M, Meena. "Intelligent Car Selection Using Recommender Systems." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47473.

Full text

Abstract:

Abstract - The increasing number of car models and evolving automotive technologies have made decision-making more complex for car buyers. This paper presents a comprehensive and interactive car comparison web platform designed to streamline the vehicle selection process. By integrating multi-dimensional comparison features, machine learning-based used car price prediction, and a user-friendly interface, the system enables informed decisions based on real-time data. The platform is developed using modern web technologies and data science tools, offering a robust solution for both new and used car buyers. Keywords: Car Comparison, Web Application, Machine Learning, Price Prediction, Vehicle Specifications, User Experience.

APA, Harvard, Vancouver, ISO, and other styles

Suseno, Beka, and Suyanto -. "IMPLEMENTATION OF THE BEST EMPLOYEES SELECTION IN WANAPOTENSI GUNA (WPG) COMPANIES USING TOPSIS METHOD BASED ON WEBSITE." Jurnal Sistem Informasi dan Ilmu Komputer Prima(JUSIKOM PRIMA) 6, no. 1 (2022): 43–48. http://dx.doi.org/10.34012/jurnalsisteminformasidanilmukomputer.v6i1.2813.

Full text

Abstract:

The number of employees at PT. Wanapotensi Guna will make it difficult for companies to find the best employees, the aim is to improve employee performance to be better every year, the best employee selection is held. The problem that occurs in the process of selecting the best employees so far is that data processing is still manual so it takes a long time. Based on the problems above, the researcher provides a solution to make a decision support system for selecting the best employees using the Topsis method and the Waterfall development method and the programming language used is PHP. Results with DSS for selecting the best employees at PT. Wanapotensi Guna can also minimize the risk of losing employee data, making selection evaluation criteria. the best employees according to predetermined criteria, Keywords :SPK,Best Employee, Topsis, Waterfall .Php.

APA, Harvard, Vancouver, ISO, and other styles

Zhykharev, Oleksandr. "Aspects of the examination of patents relating to medical inventions." Theory and Practice of Intellectual Property, no. 6 (February 27, 2023): 48–55. http://dx.doi.org/10.33731/62022.274630.

Full text

Abstract:

Keywords: selection invention; medical inventions; examination; patentability criteria The article contains an analysis of approaches to the examination of selectioninventions for medicines. Selection inventions are inventions created in theprocess of selecting an optimal compound from a group of known compounds or in theprocess of selecting parameters from an interval of known parameters related to thecompounds. Selection inventions must demonstrate an unexpected result that is unknownin the prior art. Selection inventions can potentially be a means of obtaining amonopoly on an already known compound or a medicinal product containing thatcompound, or a method of producing the compound, etc. Therefore, the examination of criteria of patentability for selection inventions is important for maintaining the balanceof interests between the patent holder and the society. The article contains informationabout the difference between the examination of inventions in the patent officeand the forensic examination. The analysis of approaches to examination includesthe law of Ukraine for invention, which provides for the means of combating evergreen(secondary) patents, as well as the opinion of experts of the Patent Office abouta patentability of selection inventions. The article contains the approaches to examinationaccording to the regulations of the European Patent Office and other nationaljurisdictions, as well as the opinion of forensic scientists practising in this field. Apractice example of examination of a selection invention is given. The summary includesrecommendations on approaches to the examination of selection inventions:the subject of the selection invention should not have been specifically disclosed earlier;the subject should exhibit previously unknown and unexpected advantages; thedescription of the selection invention should contain reasonable evidence of non-obviousnessof the selection; the selection invention should meet the condition of inventivestep according to the general requirements as for all the inventions. If unexpected advantagesof existing products were deemed patentable under the applicable law, thepatentability of a selection could be considered when an inventive step is present.

APA, Harvard, Vancouver, ISO, and other styles

Kamaruddin, Norhaslinda, Abdul Wahab Abdul Rahman, and Ramizah Amirah Mohd Lawi. "Jobseeker-industry matching system using automated keyword selection and visualization approach." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 3 (2019): 1124. http://dx.doi.org/10.11591/ijeecs.v13.i3.pp1124-1129.

Full text

Abstract:

Learning opportunities are available with the accessibility of new learning technologies, discovery of untraditional learning pathways and awareness of the importance of connecting current knowledge with new learning. Such situation allows the expansion in the number of courses, programs and professional certifications offered to the students resulting to the increment of the number of graduates annually. The graduates then employed by the industry for executing the job. However, there is a growing concern about the increment of unemployed graduates in the job market. One of the reasons of the mismatch between graduates’ skills and employers’ needs is that the jobseekers tend to choose wrong job because they are overwhelmed by the choices and typically they just randomly send the application because it is time consuming to filter relevant advert. Such action may have repercussion to the industry because the employers need to select relevant candidates to fill up the post from the unfiltered pile of applications making the selection process lengthy and time consuming. In this paper we proposed an automated approach to match the graduates’ and employers’ needs using a hybrid of text mining and visualization approach to facilitate jobseekers’ task of relevant job application. The important keywords are automatically extracted based on the frequency of the word used in the adverts. Then, the graduates’ skills are matched from their personalized profile. Relevant visualization approaches are incorporated to facilitate the selection. It is practical and feasible for the proposed approach to be incorporated in job searching websites that can optimize jobseekers and employers time and effort for a suitable match.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!