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Journal articles on the topic 'Intellectual data analysis'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Marchuk, G. V., V. L. Levkivskyy, and S. S. Kaliberda. "INTELLECTUAL ANALYSIS OF DATA." Bionics of Intelligence 1, no. 92 (2019): 65–70. http://dx.doi.org/10.30837/bi.2019.1(92).11.

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The main research of the article is the data mining methods, such as linear and polynomial regression and the support vector machine. The application success is based on the fact that the methods and technologies of Data mining ensure the study of data and the research of hidden patterns in them. The analysis assists in identification of various features and data parameters, and therefore it is a powerful tool in the stage of forming forecasting models.

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Ширинкина, Елена Викторовна. "INTELLECTUAL ANALYSIS OF EDUCATIONAL DATA." Вестник Тверского государственного университета. Серия: Экономика и управление, no. 3(55) (September 27, 2021): 179–88. http://dx.doi.org/10.26456/2219-1453/2021.3.179-188.

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Актуальность исследования обусловлена тем, что по теме в контексте интеллектуального анализа образовательных данных в настоящее время не существует конкретики относительно вопросов их использования, метрической подборки данных для построения прогнозов. Цель исследования состоит в проведении интеллектуального анализа образовательных данных в контексте отличия учебной аналитики от педагогической диагностики и других способов сбора данных. В этой связи автором рассмотрены виды учебной аналитики. Научная новизна исследования заключается в построении модели по отдельным образовательным решениям при

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Shirinkina, Elena, Nikolay Strih, and Ekaterina Popova. "Intellectual analysis of education data." E3S Web of Conferences 270 (2021): 01004. http://dx.doi.org/10.1051/e3sconf/202127001004.

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The relevance of the study is due to the fact that there are now more questions than specific answers on the topic in the context of educational data mining: how it is done, for what and how we can use it, what metrics to include in the sample and how to make predictions. Undoubtedly, in the coming years there will be a transition from discussions to the practical introduction of educational analytics into educational processes. The study analyzes these categories, and fundamentally differences educational analytics from pedagogical diagnostics and other methods of data collection. One of the

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Chernyashchuk, N., I. Koval, M. Haiduchyk, I. Kushko, and V. Kachko. "Intellectual analysis of large data stores." COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, no. 53 (December 16, 2023): 72–77. http://dx.doi.org/10.36910/6775-2524-0560-2023-53-11.

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An intelligent system for processing big data. The paper classified and considered the further development of the PHI accelerator in modern processors for computing artificial intelligence in games. Based on the approach, an intelligent system was developed that increases efficiency and speed in game projects using artificial intelligence. The practical significance of the obtained results is that the obtained results can be used to improve the efficiency of using machine learning in the development of computer games.

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Polyakov, Maxim V., Igor H. Khanin, Gennadij Ya Shevchenko, Volodymyr S. Bilozubenko, and Mykola A. Nahorianskyi. "Fundamentals of Intellectual Data Analysis Using and Its Capabilities in the Knowledge Economy." Business Inform 2, no. 565 (2025): 181–95. https://doi.org/10.32983/2222-4459-2025-2-181-195.

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In the modern economy, knowledge has become a key factor in creating value, which increases the demand for and significance of methods for its production. Given the multiple increase in the volume of data containing useful but hidden information and the emergence of digital technologies that allow for processing this data to extract the information, one of the most important methods for acquiring knowledge has become intellectual data analysis (IDA). The aim of the research is to explain the fundamentals, capabilities, and characteristics of applying IDA in the knowledge economy, as well as to

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Molodchik, Maria, Elena Shakina, and Anna Bykova. "Intellectual capital transformation evaluating model." Journal of Intellectual Capital 13, no. 4 (2012): 444–61. https://doi.org/10.1108/14691931211276089.

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Purpose The purpose of this paper is to present a framework that is developed for analysis of intellectual capital transformation into companies’ value, including an identification of the key factors of this process. Design/methodology/approach The paper employs intellectual capital on the intersection of value‐based management (VBM) and the resource‐based view (RBV). Starting from a review of the results provided in the literature regarding intellectual capital (IC) evaluation and its link with firm performance, a system of proxy indicators related to IC transformation in both concepts

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Ismayilov, I. M., and T. V. Binnataliyeva. "The intellectual analysis algorithm of aircraft flight data." Herald of the Azerbaijan Engineering Academy 13, no. 1 (2021): 7–12. http://dx.doi.org/10.52171/2076-0515_2021_13_01_07_12.

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Yusuf, Muhammad, and Mardan Mardan. "MEMAKNAI PENDIDIKAN SEBAGAI PROYEK MORAL, INTELEKTUAL, DAN SPRITUAL (ANALISIS KRITIS PENAFSIRAN Q.S. AL-MUJADILAH AYAT 11)." At-Tajdid : Jurnal Pendidikan dan Pemikiran Islam 6, no. 1 (2022): 21. http://dx.doi.org/10.24127/att.v6i1.2079.

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The education process often produces a dichotomy between moral, intellectual, and spiritual aspects, even though education can make all these aspects simultaneously and in balance. This article is an analytical study of the meaning of verse 11 of Surah al-Mujadilah regarding education that integrates moral, intellectual, and spiritual competencies. Data are tracked and collected from the interpretation of the ulama through books of tafsir, the preachers' explanations, and relevant articles. The analysis was carried out by applying the approach to the sciences of the Koran, the science of inter

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9

Zagoruiko, N. G. "Intellectual data analysis based on a rival similarity function." Optoelectronics, Instrumentation and Data Processing 44, no. 3 (2008): 211–17. http://dx.doi.org/10.3103/s8756699008030035.

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Ovsyanitskaya, I. I. "Intellectual Data Analysis as a Component of Education Management." Education and science journal 1, no. 10 (2015): 80. http://dx.doi.org/10.17853/1994-5639-2013-10-80-90.

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Senko, Oleg V., Anna V. Kuznetsova, Evgeny M. Voronin, et al. "Methods of intellectual data analysis in COVID-19 research." Journal of the Belarusian State University. Mathematics and Informatics, no. 1 (April 6, 2022): 83–96. http://dx.doi.org/10.33581/2520-6508-2022-1-83-96.

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The paper presents an original method for solving the problem of finding a connection between the course of the epidemic and socio-economic, demographic and climatic factors. The method was applied to solve this problem for 110 countries of the world using a set of corresponding curves of the COVID-19 growth rate for the period from January 2020 to August 2021. Hierarchical agglomerative clustering was applied. Four large clusters with uniform curves were identified – 11, 39, 17 and 13 countries, respectively. Another 30 countries were not included in any cluster. Using machine learning method

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A.A., LE ZH EBOKOV, and KULIEV E.V. "VISUALIZATION TECHNOLOGIES FOR APPLIED PROBLEMS OF INTELLECTUAL DATA ANALYSIS." News of the Kabardin-Balkar Scientific Center of RAS 4, no. 90 (2019): 14–23. http://dx.doi.org/10.35330/1991-6639-2019-4-90-14-23.

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Leitner, Karl‐Heinz, Michaela Schaffhauser‐Linzatti, Rainer Stowasser, and Karin Wagner. "Data envelopment analysis as method for evaluating intellectual capital." Journal of Intellectual Capital 6, no. 4 (2005): 528–43. http://dx.doi.org/10.1108/14691930510628807.

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Usyk, Vira, Irina Radionova, and Yana Fareniuk. "Behavioral insights in education: Intellectual data analysis for management." Journal of Eastern European and Central Asian Research (JEECAR) 11, no. 4 (2024): 709–20. http://dx.doi.org/10.15549/jeecar.v11i4.1573.

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This research utilizes intellectual data analysis to deepen insights into educational dynamics by examining university professors' behavioral responses to education management amidst socioeconomic uncertainty. The study applied sophisticated regression and cluster analysis tools to sociological survey data, focusing on professors' attitudes toward distance education. The survey assessed perceptions of its advantages and disadvantages, aiming to uncover factors influencing professors' inclinations toward this mode of teaching. Results revealed six distinct behavioral "profiles" or clusters of p

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Emerson, Eric, David Felce, and Roger J. Stancliffe. "Issues Concerning Self-Report Data and Population-Based Data Sets Involving People With Intellectual Disabilities." Intellectual and Developmental Disabilities 51, no. 5 (2013): 333–48. http://dx.doi.org/10.1352/1934-9556-51.5.333.

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Abstract This article examines two methodological issues regarding ways of obtaining and analyzing outcome data for people with intellectual disabilities: (a) self-report and proxy-report data and (b) analysis of population-based data sets. Some people with intellectual disabilities have difficulties with self-reporting due to problems of understanding and communication. However, there are serious doubts about the validity of proxy data for subjective issues. One important challenge with secondary analysis of population-based data sets is the difficulty of accurately identifying survey partici

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Dandan, Shi. "Public Perception Analysis of Hot Topics in Intellectual Property Based on Microblog Data." Mathematical Problems in Engineering 2021 (July 2, 2021): 1–10. http://dx.doi.org/10.1155/2021/8971666.

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Public opinion is a crucial factor for government policy making, implementation, evaluation, and social development. This paper analyzes the public opinion perception of intellectual property subject based on microblog data and puts forward the concept and calculation model for the breadth, depth, and comprehensive value of public perception. Then, taking the opinion evaluation in microblog platform as an example, this paper studies the public perception of intellectual property subject and illustrates the changing trend of public perception through related events in microblog. The results sho

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Faiza, Nur Hidayatul, and Sigit Hermawan. "INTELLECTUAL CAPITAL RESEARCH TRENDS IN NON-PROFIT ORGANISATIONS: BIBLIOMETRIC ANALYSIS BASED ON SCOPUS DATA." Journal of Economic and Economic Policy 1, no. 3 (2024): 205–20. http://dx.doi.org/10.61796/ijecep.v1i3.44.

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This study explores the publication trends and impact of intellectual capital research within nonprofit organizations over the decade from 2014 to 2023. General Background: As the significance of intellectual capital in enhancing organizational performance becomes increasingly recognized, a deeper understanding of its application in nonprofit sectors is essential. Specific Background: Using bibliometric analysis, the research investigates 240 published articles from the Scopus database, focusing on the subjects of business management, economics, and social sciences. Knowledge Gap: While existi

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Singhal, S., S. Gupta, and V. K. Gupta. "Study of intellectual capital on drugs and pharmaceutical industry of India: Using panel data analysis." Finance: Theory and Practice 26, no. 1 (2022): 66–78. http://dx.doi.org/10.26794/2587-5671-2022-26-1-66-78.

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Intellectual capital is becoming increasingly important in financial decisions made by managers in the information-based environment. However, only a small portion of a company’s total assets is represented by intangible assets (such as concessions, licenses, patents, and trademarks). The current research investigates the relationship between an organization’s Intellectual capital and its health. A new model — Modified Extended Value-added Intellectual Capital Coefficient — was also proposed. The findings were compared with the two existing models, namely, Value Added Intellectual Coefficient

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Karya, Gardiana. "DEVELOPMENT OF EATING ABILITY IN MODERATE INTELECTUALLY DISABLED CHILDREN AT WISMA GONDOSULI 8 BHAKTI LUHUR ORPHANAGE, MALANG." Journal of ICSAR 6, no. 1 (2022): 42. http://dx.doi.org/10.17977/um005v6i12022p042.

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In everyday life, humans need food, therefore everyone must have eating skills, including children with moderate intellectual disability. This research is focused on children with moderate intellectual disability with the inability to eat independently . This study aims to describe: the ability to develop self-feeding in children with moderate intellectual disability. This research is a qualitative descriptive study. The research subjects are two intellectually disabled children in grade 2 SDLB who live in Bhakti Luhur Orphanage, Malang. Data collection was carried out by observation (particip

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Kharkianen, Olena, and Yuliya Gladka. "Information support for product sales by intellectual data analysis methods." Modeling and Information Systems in Economics, no. 98 (November 28, 2019): 209–14. http://dx.doi.org/10.33111/mise.98.20.

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Zhatkina, Kristina, and Oksana Kreider. "Application of intellectual data analysis methods for digital educational platform." System Analysis in Science and Education, no. 2 (2020) (June 30, 2020): 1–5. http://dx.doi.org/10.37005/2071-9612-2020-2-1-5.

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This article describes the possibility of using data mining techniques. In order to join new carpet participants, it is necessary to understand that the system of interaction with them is public educational services. To implement digital educational platforms, it is proposed to create an agent that collects information about sites, and also selects and tests the architecture of the neural network to build an individual trajectory that is trained using the competency-based model.

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Soriya, Sushila, and Karam Pal Narwal. "Intellectual capital performance in Indian banks: a panel data analysis." International Journal of Learning and Intellectual Capital 12, no. 2 (2015): 103. http://dx.doi.org/10.1504/ijlic.2015.068983.

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Tummers, J., C. Catal, H. Tobi, B. Tekinerdogan, and G. Leusink. "Coronaviruses and people with intellectual disability: an exploratory data analysis." Journal of Intellectual Disability Research 64, no. 7 (2020): 475–81. http://dx.doi.org/10.1111/jir.12730.

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Rebecca, Aicha Grade. "Analysis of the Legal Challenges of Enacting Effective Communal Intellectual Property Data Collection System in Indonesia." Jurnal Syntax Admiration 5, no. 5 (2024): 1587–97. http://dx.doi.org/10.46799/jsa.v5i5.1154.

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This article discusses challenges arising from the implementation of the communal intellectual property registration system based on Regulation No. 13 of 2017 by the Minister of Law and Human Rights on Communal Intellectual Property Data. The urgency to conduct this research lies on the fact that Indonesian is rich in cultural heritage that acts as a basis for communal intellectual property but there are limitations in the existing communal intellectual property protection system. The purpose of this research aims to identify obstacles and challenges faced by relevant stakeholders in complying

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Hassiotis, Angela, Dina Gazizova, Leah Akinlonu, Paul Bebbington, Howard Meltzer, and Andre Strydom. "Psychiatric morbidity in prisoners with intellectual disabilities: analysis of prison survey data for England and Wales." British Journal of Psychiatry 199, no. 2 (2011): 156–57. http://dx.doi.org/10.1192/bjp.bp.110.088039.

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SummaryA substantial number of prisoners have intellectual disabilities. We analysed data on a sample drawn from all prisons in England and Wales. Intellectual disability was defined as Quick Test scores equivalent to an IQ of ⩽65. We found a significantly higher prevalence of probable psychosis, attempted suicide and cannabis use in prisoners with intellectual disabilities. Presence of intellectual disability was twice as likely to be associated with probable psychosis but the relationship was fully mediated by self-rated health status. It is important to identify this group as early as possi

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Wulandari, Afiani, and Dinalestari Purbawati. "The Influence of Intellectual Capital on Firm Value through Financial Performance as an Intervening Variable (Study on Pharmaceutical Sub-Sector Companies Listed on the Indonesia Stock Exchange Periode 2016 - 2019)." Jurnal Ilmu Administrasi Bisnis 10, no. 1 (2021): 793–802. http://dx.doi.org/10.14710/jiab.2021.29801.

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The formation of a company is due to the objectives to be achieved, one of which is maximizing company value. Firm value is a reflection of the company's performance which is formed by supply and demand in the capital market which can be influenced by several factors, including intellectual capital and financial performance. This study aims to examine the effect of intellectual capital on firm value through financial performance as an intervening variable in pharmaceutical sub-sector companies listed on the Indonesia Stock Exchange for the period 2016 – 2019. The data used is secondary data de

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Hamza, Rafik, and Hilmil Pradana. "A Survey of Intellectual Property Rights Protection in Big Data Applications." Algorithms 15, no. 11 (2022): 418. http://dx.doi.org/10.3390/a15110418.

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Big Data applications have the potential to transform any digital business platform by enabling the analysis of vast amounts of data. However, the biggest problem with Big Data is breaking down the intellectual property barriers to using that data, especially for cross-database applications. It is a challenge to achieve this trade-off and overcome the difficulties of Big Data, even though intellectual property restrictions have been developed to limit misuse and regulate access to Big Data. This study examines the scope of intellectual property rights in Big Data applications with a security f

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Shen, Zhongyang. "The Conflict and Coordination Between Data Sharing and Intellectual Property Protection in the Era of Big Data." Lecture Notes in Education Psychology and Public Media 24, no. 1 (2023): 102–7. http://dx.doi.org/10.54254/2753-7048/24/20230634.

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Computer technology has constantly innovated since the computer first appeared in the last century. Cloud computing, the Internet, and other technologies are increasingly important in human life. Relying on the combination of computers and the Internet, the scale of data is increasing rapidly, the speed of data exchange is gradually accelerating, and the traditional information exchange mode is broken. The information exchange mode based on extensive data exchange has steadily become the mainstream, and the era of big data has come. Due to the changes brought about by new technologies, the ori

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Ana, Selvia Roos, Neny Tri Indrianasari, and Fetri Setyo Liyundira. "K-Means Analysis in Sharia Banking Intellectual Capital." IJEBD (International Journal of Entrepreneurship and Business Development) 7, no. 1 (2024): 66–71. http://dx.doi.org/10.29138/ijebd.v7i1.2634.

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Purpose: This research aims to assess the need to manage and increase Intellectual Capital efficiently in the context of Sharia BPR. Design/methodology/approach: Using secondary data to categorize BPR Sharia banks in East Java Province based on the level of the intellectual model using the K-Means method. Findings: The k-means method with a two-group configuration is the best approach for clustering. The second group has a high amount of Intellectual Capital, while the first group has a low amount of Intellectual Capital. Managing Intellectual Capital to increase added value for th

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J. Hill, Mark, Ville Vaara, Tanja Säily, Leo Lahti, and Mikko Tolonen. "Reconstructing Intellectual Networks." Digital Humanities in the Nordic and Baltic Countries Publications 2, no. 1 (2019): 201–19. http://dx.doi.org/10.5617/dhnbpub.11096.

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This paper demonstrates the use of the ESTC as a representation of material history through the extraction and parsing of its data in a way which allows it to be used in social network analysis. In doing this it makes two contributions. The first is methodological, outlining how such a transformation of data is possible. The second is historical, by demonstrating how this data can be used to support historical claims.

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Kaziyeva, G. D., A. E. Abzhanova, M. Zh Esekeeva, S. K. Sagnayevа, and G. K. Sembina. "Some approaches and tools for intellectual analysis of data in biomonitoring." BULLETIN of L.N. Gumilyov Eurasian National University. Technical Science and Technology Series 130, no. 1 (2020): 50–58. http://dx.doi.org/10.32523/2616-68-36-2020-130-1-50-58.

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Iatsyshyn, A. V., Yu G. Kutsan, V. O. Artemchuk, I. P. Kameneva, O. O. Popov, and V. O. Kovach. "Means of Intellectual Analysis and Visualization Geospatial Atmospheric Air Monitoring Data." Èlektronnoe modelirovanie 41, no. 5 (2019): 85–102. http://dx.doi.org/10.15407/emodel.41.05.085.

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Li, Liying. "Analysis and data mining of intellectual property using GRNN and SVM." Personal and Ubiquitous Computing 24, no. 1 (2019): 139–50. http://dx.doi.org/10.1007/s00779-019-01344-8.

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Nitkiewicz, Tomasz, Piotr Pachura, and Neil Reid. "An appraisal of regional intellectual capital performance using Data Envelopment Analysis." Applied Geography 53 (September 2014): 246–57. http://dx.doi.org/10.1016/j.apgeog.2014.06.011.

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Yadrovskaya, Marina, and Markos Porksheyan. "Intellectual analysis of foreign students’." BIO Web of Conferences 84 (2024): 04004. http://dx.doi.org/10.1051/bioconf/20248404004.

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To optimize the learning process and improve the quality of professional training of foreign students, the study considers the process of forming the readiness of foreign students to study at a Russian university. The formation of readiness was analyzed within the framework of the pedagogical system of the preparatory faculty, which foreign students study. The study of the main components of the pedagogical system was carried out using Orange Data Mining, an intellectual analysis tool applied to the results of a survey of foreign students. For the majority of respondents, the main goal of stud

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Wang, Fu-Sheng, and Bei Yuan. "Research on the Impact of Intellectual Capital on Corporate Value—Based on the Panel Data of Companies Listed on GEM." Journal of Computational and Theoretical Nanoscience 14, no. 1 (2017): 151–56. http://dx.doi.org/10.1166/jctn.2017.6141.

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Along with the human society entered the era of knowledge economy, intellectual capital has become a new growth point of enterprise value. How does the factor of intellectual capital influence the enterprise value? This paper reviews the relevant literatures and analyzes the relationship between intellectual capital and the enterprise value through both theoretical method and empirical method. In the theoretical analysis, we explore the impact of intellectual capital on enterprise value by mechanism and behavior. Then we selected the data of GEM listed companies from 2010 to 2015 for empirical

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Saputra, Dwi Fajar. "Implementasi Sistem Tata Kelola Data Kekayaan Intelektual di Perguruan Tinggi." Jurnal Informatika Universitas Pamulang 8, no. 4 (2023): 627–33. https://doi.org/10.32493/informatika.v8i4.38562.

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Universities, as centers of innovation and knowledge, play a crucial role in managing intellectual property (IP). However, many academic institutions still need help managing IP data, so a sound governance system is needed to optimize the benefits of research and innovation results. This research aims to produce a system for managing intellectual property data in higher education and identify the factors that influence its success. The research method uses data analysis, design, development, testing, implementation, and evaluation monitoring. The research results show that there are supporting

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Shara, Yuni. "Analysis of Intellectual Capital Disclosure Practices." Jurnal Akuntansi Bisnis Eka Prasetya Penelitian Ilmu Akuntansi 7, no. 2 (2021): 136–47. http://dx.doi.org/10.47663/abep.v7i2.175.

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The purpose of this study is to determine the existence of disclosures of intellectual capital. The research method used is a qualitative descriptive method. This data collection technique is done by observation and interviews with subjects and objects of research. The results of this study indicate Disclosure of Intellectual Capital is currently efficiently applied. Based on the efficiency parameter, the figure is 7.96, which means it is a sign of very successful company performance. However, from 2018 to 2019, human resources' quality is still low and very influential on the company going fo

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Bincoletto, Giorgia. "Protecting Clinical Trial Data with Data Exclusivity: A Comparative Legal Analysis." European Intellectual Property Review 46 (2024) (September 24, 2024): 491–504. https://doi.org/10.5281/zenodo.13831896.

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This paper provides a comparative analysis of data exclusivity, form of protection for test data obtained from clinical trials of a new medicine. The purpose of this paper is to analyse the nature of this <em>sui generis</em> IP right by examining art.39(3) of the Agreement on the Trade-Related Aspects of Intellectual Property Rights and comparing the local regulatory frameworks of the United States and the European Union, which are the pioneers of data exclusivity protection and play a significant role in the pharmaceutical market. Attention will be also given to the new policies aimed at inc

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Quintero-Quintero, Wilder, Ana Beatriz Blanco-Ariza, and Manuel Alfonso Garzón-Castrillón. "Intellectual Capital: A Review and Bibliometric Analysis." Publications 9, no. 4 (2021): 46. http://dx.doi.org/10.3390/publications9040046.

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Intellectual capital is managed by competencies and the development of information and communication technologies, which have seen high growth and impact in higher education institutions related to scientific publications. The main objective of this study was to provide a summary of the general review of studies related to intellectual capital around the world. Methodology: the Bibliometric analysis was carried out using the Bibliometrix library and BiblioShiny platform of the RStudio® software through the data obtained from the Scopus database. Findings: in total, 389 documents in the Scopus

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Anisa, Anisa, and Herlambang Pudjo Santosa. "ANALYSIS INTELLECTUAL CAPITAL TRANSPORTATION COMPANIES IN INDONESIA STOCK EXCHANGE." Cerdika: Jurnal Ilmiah Indonesia 3, no. 7 (2023): 683–89. http://dx.doi.org/10.59141/cerdika.v3i7.646.

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This study aims to determine the effect of industry type, profitability, and leverage on Intellectual Capital in transportation companies listed on the Indonesia Stock Exchange. A total of 43 transportation companies listed on the Indonesia Stock Exchange were included in the study population from 2018 to 2021. Multiple linear regression data analysis yielded the following findings: Leverage has an effect on Intellectual Capital . Profitability has no influence on Intellectual Capital. The type of industry has an influence on Intellectual Capital

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Sabrina, Sasya. "Analysis of Intellectual Capital Effect Toward Financial Performance and Growth." Binus Business Review 6, no. 3 (2015): 449. http://dx.doi.org/10.21512/bbr.v6i3.955.

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The purpose of this research is to investigate the influence of intellectual capital of firm toward financial performance and growth. The Value Added Intellectual Coefficient (VAICTM) is used to measure intellectual capital. The indicators for VAICTM are Value Added Capital Employed (VACA), Value Added Human Capital (VAHU), and Structural Capital Value Added (STVA). The indicators for financial performance are Current Ratio (CR), Total Assets Turnover (TATO), Return on Investment (ROI), and Return on Equity (ROE). The indicators for growth are Earnings Growth (EG) and Assets Growth (AG). This

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Venugopal, Deepa, S. Thirupparkadal Nambi, and Lakshmanan M. "A Data Envelopment Analysis Approach to Performance Efficiency of Intellectual Capital – Case of Titan Company Limited^#." SDMIMD Journal of Management 9, no. 2 (2018): 1. http://dx.doi.org/10.18311/sdmimd/2018/20023.

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<p>The purpose of this paper is to value the Performance efficiency of Intellectual Capital (IC) on Financial performance indicators of Titan Company Limited. Data required for analysis were collected from the Annual reports of the company for a period of twenty years. This study uses a DEA – CCR – Output Model which consist of intellectual capital indices as input and financial performance measures as output. Results of the efficiency analysis reveals that of the 20 years studied, only 6 years (2007, 2011, 2012, 2013, 2015, and 2016) were found to be the best performing years in terms o

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Pratama, Luthfi Hanif, and Oetami Prasadjaningsih. "Analysis of Intellectual Capital on Company Financial Performance in PT Reethau Cipta Energy." Dinasti International Journal of Education Management And Social Science 5, no. 3 (2024): 100–106. http://dx.doi.org/10.31933/dijemss.v5i3.2296.

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The research aims to investigate the relationship between intellectual capital of the key resource-based components of the company (physical capital, human capital and structural capital) with financial performance using ROA (return on assets), ROI (returns on investment), and GR (growth revenue). The data is sobtained from the financial reports of the company PT Reethau Cipta Energi for the period 2019 – 2021 and the results of employee questionnaires on a Likert scale. This study tested three elements of VAIC (value added intellectual capital) and measures the financial performance of an ent

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Pratama, Luthfi Hanif, and Oetami Prasadjaningsih. "Analysis of Intellectual Capital on Company Financial Performance in PT Reethau Cipta Energy." Dinasti International Journal of Education Management And Social Science 5, no. 3 (2024): 100–106. https://doi.org/10.38035/dijemss.v5i3.2296.

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The research aims to investigate the relationship between intellectual capital of the key resource-based components of the company (physical capital, human capital and structural capital) with financial performance using ROA (return on assets), ROI (returns on investment), and GR (growth revenue). The data is sobtained from the financial reports of the company PT Reethau Cipta Energi for the period 2019 – 2021 and the results of employee questionnaires on a Likert scale. This study tested three elements of VAIC (value added intellectual capital) and measures the financial performance of an ent

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Coffey, Amanda, Holbrook Beverley, and Atkinson Paul. "Qualitative Data Analysis: Technologies and Representations." Sociological Research Online 1, no. 1 (1996): 80–91. http://dx.doi.org/10.5153/sro.1.

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In this paper we address a number of contemporary themes concerning the analysis of qualitative data and the ethnographic representation of social realities. A contrast is drawn. On the one hand, a diversity of representational modes and devices is currently celebrated, in response to various critiques of conventional ethnographic representation. On the other hand, the widespread influence of computer- assisted qualitative data analysis is promoting convergence on a uniform mode of data analysis and representation (often justified with reference to grounded theory). We note the ironic contrast

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Akkucuk, Ulas, and Mehmet Nafi Artemel. "Patent Data Visualization." International Journal of Research in Business and Social Science (2147-4478) 5, no. 3 (2016): 66–79. http://dx.doi.org/10.20525/ijrbs.v5i3.358.

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The importance given by the governments to building a sound intellectual property infrastructure is increasing in developing countries and especially in Central Asian countries. This infrastructure is continuously improved to live up to a common standard in collaboration with government agencies, educational institutions and international agencies. In this paper, the infrastructure developments that took place in the Central Asian countries is going to be elaborated and furthermore some statistical analyses will be used in order to compare the differences and similarities between the Central A

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Yusifov, F. F. "Approach for Intellectual Potential Analysis of the Scientific Institution." Digital Transformation 29, no. 3 (2023): 43–53. http://dx.doi.org/10.35596/1729-7648-2023-29-3-43-53.

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An assessment of the intellectual potential of scientific personnel on the platform of electronic demography was carried out. The current situation in the field of forming population registers, conducting demographic studies, as well as a number of works related to the use of new sources of information and big data have been studied. Analyzed studies cover the assessment of human resources, the intellectual potential of the country and issues of scientific migration. To determine the factors influencing the intellectual potential of countries, an analysis of trends in demography and economic a

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Nikolayevskyy, Valeriy, Viktoriia Omelchenko, and Olena Bakalenko. "Intellectual property: theorizing and empirical analysis." 24, no. 24 (December 30, 2020): 57–68. http://dx.doi.org/10.26565/2077-5105-2020-24-06.

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The authors of the article based on the understanding of intellectual property as an immanent component of the innovative economy, an important factor, resource and mechanism of innovation environment and development, note the actualization of this phenomenon in nowadays society of revolutionary technological changes. The article deals with the brief overview of the some features and characteristics of the process of reforming the institute of intellectual property in Ukraine, including regulatory framework, and also is based on the analysis of data gathered in sociological survey «Intellectua

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Kim, Joonyup, and Keun Lee. "How is Tencent Catching up with Facebook: Empirical Analysis using Patent Citation Data." Institute for Future Growth 9, no. 2 (2023): 55–88. http://dx.doi.org/10.29143/kuifg.2023.9.2.55.

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This paper examines Tencent’s economic performances over time in terms of its technological catch-up and business strategies, with Facebook as a benchmark. Patent and citation data from 2010 to 2019, extracted from the Worldwide Patent Statistical Database (PATSTAT), was used to analyze the technological catching up made by Tencent and Facebook. Results indicate that Tencent has overtaken Facebook in terms of market performances, and that the overtaking in the number of patents preceded that of the market performances, but Tencent has not yet overtaken Facebook in terms of the quality of paten

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