Log in

Relevant bibliographies by topics / History of data mining / Journal articles

To see the other types of publications on this topic, follow the link: History of data mining.

Journal articles on the topic 'History of data mining'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 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 'History of data mining.'

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.

1

Trivedi, Nripesh. "Data mining." International Journal of Scientific Research and Management (IJSRM) 12, no. 03 (2024): 1094. http://dx.doi.org/10.18535/ijsrm/v12i03.ec07.

Full text

Abstract:

Data Mining Data mining is about finding patterns in the data [1]. In this paper, I put forward an important insight about similarity in branches of computer science and data mining. All branches of computer science could be termed as a procedure to carry out data mining. In this paper, I detail that. The computer works by finding patterns in the input and output [2]. Artificial Intelligence works by finding the patterns of functions of the related variables [3]. Machine learning works by mathematical justification of machine learning methods and results [4]. That is the pattern followed in ma

APA, Harvard, Vancouver, ISO, and other styles

2

Coenen, Frans. "Data mining: past, present and future." Knowledge Engineering Review 26, no. 1 (2011): 25–29. http://dx.doi.org/10.1017/s0269888910000378.

Full text

Abstract:

AbstractData mining has become a well-established discipline within the domain of artificial intelligence (AI) and knowledge engineering (KE). It has its roots in machine learning and statistics, but encompasses other areas of computer science. It has received much interest over the last decade as advances in computer hardware have provided the processing power to enable large-scale data mining to be conducted. Unlike other innovations in AI and KE, data mining can be argued to be an application rather then a technology and thus can be expected to remain topical for the foreseeable future. Thi

APA, Harvard, Vancouver, ISO, and other styles

3

Dr., P. Nithya*1 B. Uma Maheswari2 &. A. Nandini3. "A STUDY ON IMAGE MINING TECHNIQUES, FRAMEWORK AND APPLICATIONS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 7 (2017): 611–15. https://doi.org/10.5281/zenodo.829795.

Full text

Abstract:

Image mining refers to a data mining technique where images are used as data. It supports a large field of applications like medical diagnosis, agriculture, industrial work, space research and obviously the educational field. In this paper I would like to explain image mining- introduction, history, image mining process, image mining framework, application, techniques, various extraction mechanisms used in image mining and image retrieval based on semantics. Since image mining is now the most popular technique of retrieving information related to user query. These concepts are used to developi

APA, Harvard, Vancouver, ISO, and other styles

4

Dost, Muhammad Khan. "Data Streaming of Healthcare from Internet of Things (IoTs) using Big Data Analytics." Global Social Sciences Review 4, no. 1 (2019): 287–95. https://doi.org/10.5281/zenodo.4362047.

Full text

Abstract:

The present study aims at the concept of the IoTs (IoT) and its relation with the healthcare sector. Nowadays, IoT is the main focus of researchers and scientists while this concept illustrates the data stream generated from IoT devices in massive amounts like big data with a continuous stream that requires its proper handling. This study aims at the analytical processing of big datasets having a medical history of patients and their diseases. The data cleansing is applied before going through the analytics phase due to the existence of some noisy and missing data. The analytics of data identi

APA, Harvard, Vancouver, ISO, and other styles

5

Saiz-Gonzalez, D., E. Baca-García, M. Perez-Rodriguez, et al. "Searching for Variables Associated with Familial Suicide Attempts Using Data Mining Techniques." European Psychiatry 24, S1 (2009): 1. http://dx.doi.org/10.1016/s0924-9338(09)70963-0.

Full text

Abstract:

Introduction:Adoption, twin and family studies suggest that suicide behavior is familial and heritable. Both completed and attempted suicide appear to be transmitted in a familial form. Genetics and environment influences had been detected in various studies. But suicidal behavior suggests to be inherited independently from the mental disorders usually associated with it. While traditional statistics emphasizes inference and estimations, data mining emphasizes the fulfillment of a task such as classification, estimation, or knowledge discovery.Objectives:The goal of this study was to determine

APA, Harvard, Vancouver, ISO, and other styles

6

Khanal, Rajesh. "The Role of Open Standard Electronic Health Record in Medical Data Mining." European Journal of Business Management and Research 2, no. 2 (2017): 1–7. http://dx.doi.org/10.24018/ejbmr.2017.2.2.9.

Full text

Abstract:

Electronic Health Record (EHR) has received significant attention of all the health service provider in the world. EHR contains electronic information of all the patient information such as demographics, medical history, family medical history, lab tests and results, and prescribed drug. There is not any consistency in type of the EHR software implemented by the hosting organization. So, the EHR is currently vendor dependent and is not transferrable to another health service provider. The open standard electronic health record makes it public available to both vendor and patient. It can furthe

APA, Harvard, Vancouver, ISO, and other styles

7

Anshari, Said Fadlan, and Sujacka Retno. "Penerapan Metode Nine-Step Kimball Dalam Pengolahan Data History Menggunakan Data Warehouse dan Business Intelligence." Jurnal Ilmu Komputer 16, no. 1 (2023): 69. http://dx.doi.org/10.24843/jik.2023.v16.i01.p07.

Full text

Abstract:

Data warehouse dan business intelligence merupakan perpaduan teknologi informasi yang dapat dimanfaatkan oleh banyak perusahaan yang memiliki data histori dan data transaksi yang cukup besar untuk bisa selanjutnya diolah, seperti yang dimiliki oleh beberapa perusahaan waralaba. Dengan menggunakan metode nine-step Kimball sebagai metode pengembangan data warehouse-nya, seta aplikasi Tableau sebagai media visuailsasi dari hasil business intelligence-nya, perusahaan dapat melihat hasil pengolahan data histori dan data transaksi yang telah dihasilkan, yang berkaitan dengan fungsi bisnis penjualan

APA, Harvard, Vancouver, ISO, and other styles

8

Splichal, Slavko. "In data we (don't) trust: The public adrift in data-driven public opinion models." Big Data & Society 9, no. 1 (2022): 205395172210973. http://dx.doi.org/10.1177/20539517221097319.

Full text

Abstract:

This article seeks to address current debates comparing polls and opinion mining as empirically based figuration models of public opinion in the light of in-depth intellectual debates on the role and nature of public opinion that began after the French Revolution and the controversy over public opinion spurred by the invention of polls. Issues of historical quantification and re-conceptualisation of public opinion are addressed in four parts. The first summarises the history of the rise and fall of the concept of public opinion. The second re-examines the key controversies in the debates on th

APA, Harvard, Vancouver, ISO, and other styles

9

Bindzarova Gergelova, Marcela, Slavomir Labant, Jozef Mizak, Pavel Sustek, and Lubomir Leicher. "Inventory of Locations of Old Mining Works Using LiDAR Data: A Case Study in Slovakia." Sustainability 13, no. 12 (2021): 6981. http://dx.doi.org/10.3390/su13126981.

Full text

Abstract:

The concept of further sustainable development in the area of administration of the register of old mining works and recent mining works in Slovakia requires precise determination of the locations of the objects that constitute it. The objects in this register have their uniqueness linked with the history of mining in Slovakia. The state of positional accuracy in the registration of objects in its current form is unsatisfactory. Different database sources containing the locations of the old mining works are insufficient and show significant locational deviations. For this reason, it is necessa

APA, Harvard, Vancouver, ISO, and other styles

10

Kumar, Ram, Tannya Gupta, Yamini Meshram, and Juhi Kumari. "Early Prediction of Cardiac Arrest Using Data Mining Algorithms." International Research Journal of Computer Science 10, no. 05 (2023): 140–49. http://dx.doi.org/10.26562/irjcs.2023.v1005.07.

Full text

Abstract:

Cardiac arrest is a sudden and unexpected loss of heart function that can lead to death. Early prediction of cardiac arrest could help to improve survival rates by allowing for early intervention. Datamining is a field of computer science that involves the extraction of knowledge from large datasets. Data mining algorithms can be used to identify patterns in data that may be indicative of cardiac arrest. For example, data mining algorithms can be used to identify patients who are at increased risk of cardiac arrest based on their medical history, lifestyle factors, and other characteristics. T

APA, Harvard, Vancouver, ISO, and other styles

11

Norouzi, Monire, Alireza Souri, and Majid Samad Zamini. "A Data Mining Classification Approach for Behavioral Malware Detection." Journal of Computer Networks and Communications 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/8069672.

Full text

Abstract:

Data mining techniques have numerous applications in malware detection. Classification method is one of the most popular data mining techniques. In this paper we present a data mining classification approach to detect malware behavior. We proposed different classification methods in order to detect malware based on the feature and behavior of each malware. A dynamic analysis method has been presented for identifying the malware features. A suggested program has been presented for converting a malware behavior executive history XML file to a suitable WEKA tool input. To illustrate the performan

APA, Harvard, Vancouver, ISO, and other styles

12

Mustafa, Muhammad Syukri, and I. Wayan Simpen. "Perancangan Aplikasi Prediksi Kelulusan Tepat Waktu Bagi Mahasiswa Baru Dengan Teknik Data Mining (Studi Kasus: Data Akademik Mahasiswa STMIK Dipanegara Makassar)." Creative Information Technology Journal 1, no. 4 (2015): 270. http://dx.doi.org/10.24076/citec.2014v1i4.27.

Full text

Abstract:

Penelitian ini dimaksudkan untuk melakukan prediksi terhadap kemungkian mahasiswa baru dapat menyelesaikan studi tepat waktu dengan menggunakan analisis data mining untuk menggali tumpukan histori data dengan menggunakan algoritma K-Nearest Neighbor (KNN). Aplikasi yang dihasilkan pada penelitian ini akan menggunakan berbagai atribut yang klasifikasikan dalam suatu data mining antara lain nilai ujian nasional (UN), asal sekolah/ daerah, jenis kelamin, pekerjaan dan penghasilan orang tua, jumlah bersaudara, dan lain-lain sehingga dengan menerapkan analysis KNN dapat dilakukan suatu prediksi ber

APA, Harvard, Vancouver, ISO, and other styles

13

Mariscal, Gonzalo, Óscar Marbán, and Covadonga Fernández. "A survey of data mining and knowledge discovery process models and methodologies." Knowledge Engineering Review 25, no. 2 (2010): 137–66. http://dx.doi.org/10.1017/s0269888910000032.

Full text

Abstract:

AbstractUp to now, many data mining and knowledge discovery methodologies and process models have been developed, with varying degrees of success. In this paper, we describe the most used (in industrial and academic projects) and cited (in scientific literature) data mining and knowledge discovery methodologies and process models, providing an overview of its evolution along data mining and knowledge discovery history and setting down the state of the art in this topic. For every approach, we have provided a brief description of the proposed knowledge discovery in databases (KDD) process, disc

APA, Harvard, Vancouver, ISO, and other styles

14

Toon, Elizabeth, Carsten Timmermann, and Michael Worboys. "Text-Mining and the History of Medicine: Big Data, Big Questions?" Medical History 60, no. 2 (2016): 294–96. http://dx.doi.org/10.1017/mdh.2016.18.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Octaviani, Dhita Aulia, Dhias Widiastuti, Rizky Amelia, and Abu Salam. "Implementasi Data Mining Untuk Memprediksi Pre-Eklampsia Dalam Kehamilan Menggunakan Algoritma C4.5." Jurnal Kesehatan 18, no. 1 (2025): 29–38. https://doi.org/10.32763/ps5qpj75.

Full text

Abstract:

Background: Maternal Mortality Rate (MMR) is an indicator to see the success of maternal health efforts. Hypertension in pregnancy, including pre-eclampsia (PE), is the main cause of maternal death and is one of the pregnancy complications whose cases continue to increase. The development of technology and information can be utilized in the health sector. The data mining process can help determine pre-eclampsia status through pregnancy and childbirth medical record data. Purpose: identify PE risk factors using data mining analysis with the C4.5 algorithm. Method: Using the c4.5 algorithm to he

APA, Harvard, Vancouver, ISO, and other styles

16

Shekan, Raid Abd Alreda, Ahmed Mahdi Abdulkadium, and Hiba Ameer Jabir. "Data Mining and Knowledge Discovery for Big Data in Cloud Environment." Webology 18, Special Issue 04 (2021): 1118–31. http://dx.doi.org/10.14704/web/v18si04/web18186.

Full text

Abstract:

In past few decades, big data has evolved as a modern framework that offers huge amount of data and possibilities for applying and/or promoting analysis and decision-making technologies with unparalleled importance for digital processes in organization, engineering and science. Because of the new methods in these domains, the paper discusses history of big data mining under the cloud computing environment. In addition to the pursuit of exploration of knowledge, Big Data revolution gives companies many exciting possibilities (in relation to new vision, decision making and business growths strat

APA, Harvard, Vancouver, ISO, and other styles

17

Chinchuluun, Altannar, Petros Xanthopoulos, Vera Tomaino, and P. M. Pardalos. "Data Mining Techniques in Agricultural and Environmental Sciences." International Journal of Agricultural and Environmental Information Systems 1, no. 1 (2010): 26–40. http://dx.doi.org/10.4018/jaeis.2010101302.

Full text

Abstract:

Data mining techniques are largely used in different sectors of the economy and they increasingly are playing an important role in agriculture and environment-related areas. This paper aims to show our vision on the importance of knowing and efficiently using data mining and machine learning-related techniques for knowledge discovery in the field of agriculture and environment. Efforts for searching hidden patterns in data are not a recent phenomenon. History shows that extensive observations on data have helped discover empirical laws in different fields of research. Therefore, it is importan

APA, Harvard, Vancouver, ISO, and other styles

18

Baker, Ryan S.J.d., and Kalina Yacef. "The State of Educational Data Mining in 2009: A Review and Future Visions." Journal of Educational Data Mining 1, no. 1 (2009): 3–17. https://doi.org/10.5281/zenodo.3554658.

Full text

Abstract:

We review the history and current trends in the field of Educational Data Mining (EDM). We consider the methodological profile of research in the early years of EDM, compared to in 2008 and 2009, and discuss trends and shifts in the research conducted by this community. In particular, we discuss the increased emphasis on prediction, the emergence of work using existing models to make scientific discoveries ("discovery with models"), and the reduction in the frequency of relationship mining within the EDM community. We discuss two ways that researchers have attempted to categorize the diversity

APA, Harvard, Vancouver, ISO, and other styles

19

TANAKA, Shimako, Maiki SAKAMOTO, Jun YAMATO, et al. "Characterization of SOAP data on medication history in Japan using text mining." Translational and Regulatory Sciences 6, no. 3 (2024): 60–67. https://doi.org/10.33611/trs.2024-008.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Ravikiran, R.K, and Anil Kuma K.R. "Adaptive Upgradation of Personalized E-Learning Portal using Data Mining." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 10, no. 1 (2020): 224–27. https://doi.org/10.5281/zenodo.5839316.

Full text

Abstract:

Implementation of data mining techniques in elearning is a trending research area, due to the increasing popularity of e-learning systems. E-learning systems provide increased portability, convenience and better learning experience. In this research, we proposed two novel schemes for upgrading the e-learning portals based on the learner’s data for improving the quality of e-learning. The first scheme is Learner History-based E-learning Portal Up-gradation (LHEPU). In this scheme, the web log history data of the learner is acquired. Using this data, various useful attributes are extracted

APA, Harvard, Vancouver, ISO, and other styles

21

Eltaher, Mohammed, and Jeongkyu Lee. "Social User Mining." International Journal of Multimedia Data Engineering and Management 4, no. 4 (2013): 58–70. http://dx.doi.org/10.4018/ijmdem.2013100104.

Full text

Abstract:

In recent years, the pervasive use of social media has generated huge amounts of data that starts to gain a lot of attentions. Each social media source utilizes different data types such as textual and visual. For example, Twitter1 is for a short text message, Flickr2 is for images and videos, and Facebook3 allows all of these data types. It is highly desired to find patterns of social media users from such different data formats. With the use of data mining techniques, the social media data opens a lot of opportunities for researchers. Despite of its short history, social media mining has bec

APA, Harvard, Vancouver, ISO, and other styles

22

Sara Aghvami, S., Heidar T. Shandiz, and M. R. Jahed Motlagh. "Efficiency Enhancement through Decision Support Based on Data Mining." Advanced Materials Research 403-408 (November 2011): 942–47. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.942.

Full text

Abstract:

In this paper, Data Mining is applied to develop the idea of directing an industrial process to be placed in a better state of operation, so the efficiency would be increased. A clustering algorithm, (Modified K-Means) is used to determine the patterns of interest, i.e. the nearest operating state in the history of the process data, on which the efficiency is higher than the current state of the process. Then, like what happens in a decision support mechanism, controllable variable of the current operating state is suggested to be changed to meet the ones of the desired pattern

APA, Harvard, Vancouver, ISO, and other styles

23

Munene, Hyden. "Mining the Past: A Report of Four Archival Repositories in Zambia." History in Africa 47 (July 18, 2019): 359–73. http://dx.doi.org/10.1017/hia.2019.24.

Full text

Abstract:

Abstract:Researchers and scholars have written on the history of mining in Zambia using a variety of sources and archives. But much of the history written from local archives has relied heavily on the National Archives of Zambia. Yet, important archival holdings for researchers of the history of Zambia’s mining industry also exist in the Zambia Consolidated Copper Mines Archive, the United National Independence Party Archive, and in the Mineworkers’ Union of Zambia Headquarters. These repositories house rich collections of data invaluable for understanding Zambia’s mining industry. Covering th

APA, Harvard, Vancouver, ISO, and other styles

24

Khan, Dost Muhammad, Muhammad Jameel Sumra, and Faisal Shahzad. "Data Streaming of Healthcare from Internet of Things (IoTs) using Big Data Analytics." Global Social Sciences Review IV, no. I (2019): 287–95. http://dx.doi.org/10.31703/gssr.2019(iv-i).38.

Full text

Abstract:

The present study aims at the concept of the IoTs (IoT) and its relation with the healthcare sector. Nowadays, IoT is the main focus of researchers and scientists while this concept illustrates the data stream generated from IoT devices in massive amounts like big data with a continuous stream that requires its proper handling. This study aims at the analytical processing of big datasets having a medical history of patients and their diseases. The data cleansing is applied before going through the analytics phase due to the existence of some noisy and missing data. The analytics of data identi

APA, Harvard, Vancouver, ISO, and other styles

25

Tang, Rui Yin, Hong Kun He, and Jian Wei Li. "The Application of Data Mining in the Ore Mixing of Sintering Process." Advanced Materials Research 562-564 (August 2012): 1549–52. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.1549.

Full text

Abstract:

The article indroduced the system of ore mixing of sintering based on data mining. Appled the method of cluster to the saved history data of the sintering process to classfy the history data into three category. Every new sample should be put into the Corresponding cluster by the distance of Eucliden, at the meantime, find the nearest proportioning ore case, and the quality index of the new sample is same with the nearest case. The method is more useful and easy.

APA, Harvard, Vancouver, ISO, and other styles

26

Muñoz, Gabriel, W. Daniel Kissling, and Loon E. Emiel van. "Biodiversity Observations Miner: A web application to unlock primary biodiversity data from published literature." Biodiversity Data Journal 7 (January 16, 2019): e28737. https://doi.org/10.3897/BDJ.7.e28737.

Full text

Abstract:

A considerable portion of primary biodiversity data is digitally locked inside published literature which is often stored as pdf files. Large-scale approaches to biodiversity science could benefit from retrieving this information and making it digitally accessible and machine-readable. Nonetheless, the amount and diversity of digitally published literature pose many challenges for knowledge discovery and retrieval. Text mining has been extensively used for data discovery tasks in large quantities of documents. However, text mining approaches for knowledge discovery and retrieval have been limi

APA, Harvard, Vancouver, ISO, and other styles

27

Chandrashekar, D. K., K. C. Srikantaiah, and K. R. Venugopal. "Map Reduce Based Association Rule Mining from Big Data." Journal of Computational and Theoretical Nanoscience 17, no. 9 (2020): 4262–66. http://dx.doi.org/10.1166/jctn.2020.9059.

Full text

Abstract:

In today’s world, the shopping is the largest fashionable trend where the transaction processing is meticulous to fetch the items from the shopping transaction history by using traditional Apriori algorithm. An Apriori algorithm is the one which is used for finding frequent pattern from the given dataset. The problem of Apriori is to find useful itemsets for business purpose was time consuming. To overcome this problem, we have proposed Map Reduce based Apriori algorithm which generates frequent itemset and association rules by using parallel computations to reduce computations. The Spark dist

APA, Harvard, Vancouver, ISO, and other styles

28

Sarwar, Tabinda, Sattar Seifollahi, Jeffrey Chan, et al. "The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges." ACM Computing Surveys 55, no. 2 (2023): 1–40. http://dx.doi.org/10.1145/3490234.

Full text

Abstract:

The primary objective of implementing Electronic Health Records (EHRs) is to improve the management of patients’ health-related information. However, these records have also been extensively used for the secondary purpose of clinical research and to improve healthcare practice. EHRs provide a rich set of information that includes demographics, medical history, medications, laboratory test results, and diagnosis. Data mining and analytics techniques have extensively exploited EHR information to study patient cohorts for various clinical and research applications, such as phenotype extraction, p

APA, Harvard, Vancouver, ISO, and other styles

29

Agustin, Ririn, and Adam Arif Budiman. "Implementasi Data Mining Analisa Pola Belanja Customer Dengan menggunakan FP-Growth pada Produk Fashion." Journal TIFDA (Technology Information and Data Analytic) 1, no. 1 (2024): 12–15. http://dx.doi.org/10.70491/tifda.v1i1.28.

Full text

Abstract:

This study applies data mining to analyze customer patterns and fashion product predictions. The FP-Growth method is used to identify frequently occurring itemset patterns,The dataset contains customer purchase history and fashion product attributes. The results of customer pattern analysis and fashion product predictions can help fashion companies in making strategic decisions. This study contributes to the use of data mining to understand customer preferences and improve business decisions for fashion companies. The use of datasets consisting of customer purchase history and fashion product

APA, Harvard, Vancouver, ISO, and other styles

30

Wu, Qian. "A Stochastic Characterization Based Data Mining Implementation for Airport Arrival and Departure Delay Data." Applied Mechanics and Materials 668-669 (October 2014): 1037–40. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.1037.

Full text

Abstract:

The probabilistic distribution of Airport arrival and departure delays over a selected period of eight months was analyzed using an optimal Generalized Extreme Value (GEV) model in this paper. It is anticipated that quantitative stochastic characterizations of delay data out of our work would improve demand predictions in air traffic flow management systems. Analysis and verification through application of Beijing Capital International Airport’s history flight delay data demonstrate better Goodness of Fit of our optimal GEV based model.

APA, Harvard, Vancouver, ISO, and other styles

31

Lu, Jun, Xinghun Meng, Yun Wang, and Zhen Yang. "Prediction of coal seam details and mining safety using multicomponent seismic data: A case history from China." GEOPHYSICS 81, no. 5 (2016): B149—B165. http://dx.doi.org/10.1190/geo2016-0009.1.

Full text

Abstract:

With the increasing mining depth of coal mines, geologic hazards have become the main source of accidents. For this reason, coal seam prediction requires more assessment parameters, such as the degree of anisotropy, [Formula: see text] value, and elastic modulus. These parameters are difficult to determine using only the PP-wave. We have inverted and interpreted multicomponent seismic data acquired from a [Formula: see text] area in the Guqiao mine located on the southern margin of the North China plate, under the constraints of drill, log, and rock-physics test data. The production coal seam

APA, Harvard, Vancouver, ISO, and other styles

32

J., Umarani, and S. Manikandan Dr. "PATTERN DISCOVERY TECHNIQUES IN WEB USAGE MINING." International Journal of Scientific Research and Modern Education 3, no. 2 (2018): 1–3. https://doi.org/10.5281/zenodo.1332044.

Full text

Abstract:

WWW is a very popular and interactive medium for broadcasting information today. Due to the vast, diverse and lively nature of web it advancesthe scalability, multimedia data and temporal issues respectively. The development of the web has given rise to large quantity of data that is freely available for user access.Web Usage Mining enhances the user experience while browsing web pages by using past history of web data. It also used to improve the web site navigation. Web mining makes use of data mining techniques and deciphers potentially useful information from web data. Web usage mining is

APA, Harvard, Vancouver, ISO, and other styles

33

Jiang, Yanhuang, Qiangli Zhao, and Yutong Lu. "Adaptive Ensemble with Human Memorizing Characteristics for Data Stream Mining." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/874032.

Full text

Abstract:

Combining several classifiers on sequential chunks of training instances is a popular strategy for data stream mining with concept drifts. This paper introduces human recalling and forgetting mechanisms into a data stream mining system and proposes a Memorizing Based Data Stream Mining (MDSM) model. In this model, each component classifier is regarded as a piece of knowledge that a human obtains through learning some materials and has a memory retention value reflecting its usefulness in the history. The classifiers with high memory retention values are reserved in a “knowledge repository.” Wh

APA, Harvard, Vancouver, ISO, and other styles

34

Kavya.V1 and Arumugam.S2. "A REVIEW ON PREDICTIVE ANALYTICS IN DATA MINING." International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) 05, no. 1/2/3 (2023): 08. https://doi.org/10.5281/zenodo.7845730.

Full text

Abstract:

The data mining its main process is to collect, extract and store the valuable information and now-a-days it’s done by many enterprises actively. In advanced analytics, Predictive analytics is the one of the branch which is mainly used to make predictions about future events which are unknown. Predictive analytics which uses various techniques from machine learning, statistics, data mining, modeling, and artificial intelligence for analyzing the current data and to make predictions about future. The two main objectives of predictive analytics are Regression and Classification. It is comp

APA, Harvard, Vancouver, ISO, and other styles

35

Arumugam.S. "A REVIEW ON PREDICTIVE ANALYTICS IN DATA MINING." International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) 5, no. 3 (2016): 01–08. https://doi.org/10.5281/zenodo.1212341.

Full text

Abstract:

The data mining its main process is to collect, extract and store the valuable information and now-a-days it’s done by many enterprises actively. In advanced analytics, Predictive analytics is the one of the branch which is mainly used to make predictions about future events which are unknown. Predictive analytics which uses various techniques from machine learning, statistics, data mining, modeling, and artificial intelligence for analyzing the current data and to make predictions about future. The two main objectives of predictive analytics are Regression and Classification. It is comp

APA, Harvard, Vancouver, ISO, and other styles

36

Kavya.V and Arumugam.S. "A REVIEW ON PREDICTIVE ANALYTICS IN DATA MINING." International Journal of Chaos, Control, Modelling and Simulation 5, no. 1/2/3 (2016): 01–08. https://doi.org/10.5281/zenodo.6423829.

Full text

Abstract:

The data mining its main process is to collect, extract and store the valuable information and now-a-days it’s done by many enterprises actively. In advanced analytics, Predictive analytics is the one of the branch which is mainly used to make predictions about future events which are unknown. Predictive analytics which uses various techniques from machine learning, statistics, data mining, modeling, and artificial intelligence for analyzing the current data and to make predictions about future. The two main objectives of predictive analytics are Regression and Classification. It is comp

APA, Harvard, Vancouver, ISO, and other styles

37

Riany, Agus Fajar, and Gusmelia Testiana. "Penerapan Data Mining untuk Klasifikasi Penyakit Stroke Menggunakan Algoritma Naïve Bayes." Jurnal SAINTEKOM 13, no. 1 (2023): 42–54. http://dx.doi.org/10.33020/saintekom.v13i1.352.

Full text

Abstract:

Stroke is a disturbance of brain function, both local and general, that occurs suddenly, progressively, and rapidly due to non-traumatic brain blood circulation disorders that lasts more than 24 hours or ends in death. Stroke is also one of the deadliest diseases in Indonesia. In this study, stroke data was used to explore new information or knowledge in it. The process of extracting new information from a set of data is known as data mining. Therefore, this research aims to classify data related to stroke using the Naïve Bayes algorithm to find out whether the patient has a stroke or not. The

APA, Harvard, Vancouver, ISO, and other styles

38

Jayadi, Jayadi, and Andi Patombongi. "IMPLEMENTASI APLIKASI DATA MINING PADA APOTEK KIMIA FARMA BAHTERAMAS MENGGUNAKAN ALGORITMA APRIORI." Simtek : jurnal sistem informasi dan teknik komputer 2, no. 1 (2017): 87–95. http://dx.doi.org/10.51876/simtek.v2i1.37.

Full text

Abstract:

Apotek Kimia Farma juga sudah menerapkan aplikasi dalam sistem penjualannya, seiring dengan berjalannya waktu data yang dihasilkan aplikasi penjualan pada apotek semakin melimpah dan membuat tumpukan data yang tidak bermanfaat, Sehingga dibutuhkan aplikasi yang dapat mempermudah pihak apotek dalam menganalisis data tranksaksi tersebut. Metode yang digunakan dalam pembuatan aplikasi Data mining yaitu metode MBA (market basket analysis ), dengan bantuan Algoritma Apriori. Proses yang dilakukan dalam implementasi Algoritma Apriori yaitu dengan cara mengambil data history penjualan dari Apotek Kim

APA, Harvard, Vancouver, ISO, and other styles

39

Ling, Nie Hui, Chwen Jen Chen, Chee Siong Teh, Dexter Sigan John, Looi Chin Ch’ng, and Yoon Fah Lay. "Global Trends of Educational Data Mining in Online Learning." International Journal of Technology in Education 6, no. 4 (2023): 656–80. http://dx.doi.org/10.46328/ijte.558.

Full text

Abstract:

Educational data mining (EDM) in online learning involves data mining techniques to analyze data from online environments to gain insights into student behavior, performance, and engagement. This study explored EDM in online learning publication trends and focuses. It involved a bibliometric analysis of 615 scholarly works related to EDM in online learning as recorded in Scopus, the largest peer-reviewed citation database, on February 1, 2023. The study examined EDM in online learning publications regarding its evolution and distribution, key focus areas, impact and performance, and prominent

APA, Harvard, Vancouver, ISO, and other styles

40

FAN, CHEN MENG, AMIYA BHAUMIK Dr., and URMISHA DAS Dr. "PREDICTIVE DIAGNOSIS THROUGH DATA MINING FOR CARDIOVASCULAR DISEASES." Xi'an Shiyou Daxue Xuebao (Ziran Kexue Ban)/ Journal of Xi'an Shiyou University, Natural Sciences Edition 66, no. 09 (2023): 99–110. https://doi.org/10.5281/zenodo.8379632.

Full text

Abstract:

<strong>Abstract</strong> Cardiovascular diseases (CVDs) are a leading cause of mortality worldwide, and early detection and accurate diagnosis are critical for effective treatment and prevention. Data mining techniques have emerged as powerful tools for analyzing large datasets to extract meaningful patterns and make predictions. This research paper aims to explore the application of data mining in predictive diagnosis for cardiovascular diseases. The study will start by collecting a comprehensive dataset comprising patient information, including demographics, medical history, lifestyle facto

APA, Harvard, Vancouver, ISO, and other styles

41

Gomathy, B., S. M. Ramesh, and A. Shanmugam. "Coronary Heart Event Analysis with Association Rule Mining." Journal of Computer Science 1, no. 1 (2013): 44–48. http://dx.doi.org/10.31357/jcs.v1i1.1815.

Full text

Abstract:

Coronary heart disease (CHD) is one of the major causes of disability in adults as well as one of the main causes of death in the developed countries. Although significant progress has been made in the diagnosis and treatment of CHD, further investigation is still needed. The objective of this study was to develop the assessment of heart event-risk factors targeting in the reduction of CHD events using Association Rule Mining. The risk factors investigated were: 1) before the event: a) non modifiable—age, sex, and family history for premature CHD, b) modifiable—smoking before the event, histor

APA, Harvard, Vancouver, ISO, and other styles

42

MALAKHOVA, IRINA. "History of geology and mining in the information space." Domestic geology, no. 6 (January 26, 2024): 13–18. http://dx.doi.org/10.47765/0869-7175-2023-10027.

Full text

Abstract:

The article considers the creation prerequisites and results of operation of the Information System “History of Geology and Mining”. The resource contains extensive personal data, information about organizations, scientific publications lists, documents, and photographic materials. The system provides free access to the information collected over decades of work in the field of history of geosciences at the Geological Institute of the Russian Academy of Sciences.

APA, Harvard, Vancouver, ISO, and other styles

43

Mihaela, Gheorghe, and Petre Stefania Ruxandra. "THE IMPORTANCE OF NORMALIZATION METHODS FOR MINING MEDICAL DATA." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 14, no. 8 (2015): 6014–20. http://dx.doi.org/10.24297/ijct.v14i8.1855.

Full text

Abstract:

Over the past decades, the field of medical informatics has been growing rapidly and has drawn the attention of many researchers. The digitization of different medical information, including medical history records, research papers, medical images, laboratory analysis and reports, has generated large amounts of data that need to be handled. As the rate of data acquisition is greater than the rate of data interpretation, new computational technologies are needed in order to manage the resulted repositories of medical data and to extract relevant knowledge from them. Such methods are provided by

APA, Harvard, Vancouver, ISO, and other styles

44

Yue, Ren Hong, Yu Min Ma, Fei Qiao, and Xing Hao Wu. "Fault Prediction Method Based on Data Mining in Semiconductor Test Line." Advanced Engineering Forum 2-3 (December 2011): 706–10. http://dx.doi.org/10.4028/www.scientific.net/aef.2-3.706.

Full text

Abstract:

In semiconductor test system, test equipment all have a period of usage. When the test time of equipment is larger than its period of usage, its fault will occur frequently. This paper will use data mining method to predict the next time point of fault based on the history data related to equipment fault. By this, a method of equipment fault prediction will be put forward, and provide the decision support for semiconductor equipment maintenance.

APA, Harvard, Vancouver, ISO, and other styles

45

Bhattacharya, Pratik, Renee Van Stavern, and Ramesh Madhavan. "Automated Data Mining: An Innovative and Efficient Web-Based Approach to Maintaining Resident Case Logs." Journal of Graduate Medical Education 2, no. 4 (2010): 566–70. http://dx.doi.org/10.4300/jgme-d-10-00025.1.

Full text

Abstract:

Abstract Background Use of resident case logs has been considered by the Residency Review Committee for Neurology of the Accreditation Council for Graduate Medical Education (ACGME). Objective This study explores the effectiveness of a data-mining program for creating resident logs and compares the results to a manual data-entry system. Other potential applications of data mining to enhancing resident education are also explored. Design/Methods Patient notes dictated by residents were extracted from the Hospital Information System and analyzed using an unstructured mining program. History, exa

APA, Harvard, Vancouver, ISO, and other styles

46

Clark, Timothy P. "Mining the Sea." Sociology of Development 6, no. 2 (2020): 222–49. http://dx.doi.org/10.1525/sod.2020.6.2.222.

Full text

Abstract:

Using primary and secondary historical data, descriptive time-series data, and site observations, this study unpacks the developmental history of one of the United States' oldest, largest, and still working fisheries. This study uses narrative analysis to explore how processes of commodification and the institutional workings of capitalist food regimes drove specific developmental outcomes. Internal comparison across periods enables an analysis of why the fishery declined in recent decades. The case also reveals important dynamics of the capitalist world food system and demonstrates how inters

APA, Harvard, Vancouver, ISO, and other styles

47

Rezig, Sadok, Zied Achour, and Nidhal Rezg. "Using Data Mining Methods for Predicting Sequential Maintenance Activities." Applied Sciences 8, no. 11 (2018): 2184. http://dx.doi.org/10.3390/app8112184.

Full text

Abstract:

A data mining approach is integrated in this work for predictive sequential maintenance along with information on spare parts based on the history of the maintenance data. For most practical problems, the simple failure of one part of a given piece of equipment induces the subsequent failure of the other parts of said equipment. For example, it is frequently observed in mining industries that, like many other industries, the maintenance of conventional equipment is carried out in sequence. Besides, depending on the state of parts of the equipment, many parts can be consumed and replaced. Conse

APA, Harvard, Vancouver, ISO, and other styles

48

Kaur, Charanpreet, and Rosy Madaan. "Study on Data Mining Techniques in Healthcare Sector: AReview." Don Bosco Institute of Technology Delhi Journal of Research 1, no. 2 (2025): 30–37. https://doi.org/10.48165/dbitdjr.2024.1.02.05.

Full text

Abstract:

Today, the Healthcare sector is generating bulks of data be it from the medical history of the patients to their personal details, their clinical data, or the genetic data. Electronic Health Records (EHR), the medical data, is very complex and varied and hence cannot be processed using the traditional manual tools. Hence, Data Mining Analysis is used extensively in the Healthcare Industry to uncover the hidden patterns and relationships to study the similarity between patients, identify their symptoms and diagnose the disease at an early stage so that proper treatment could be given to the pat

APA, Harvard, Vancouver, ISO, and other styles

49

Tao, Lingrong. "Application of Data Mining in the Analysis of Martial Arts Athlete Competition Skills and Tactics." Journal of Healthcare Engineering 2021 (April 3, 2021): 1–6. http://dx.doi.org/10.1155/2021/5574152.

Full text

Abstract:

In martial arts, data mining technologies are used to describe and analyze the moves of athletes and changes in the process and sequences. Martial arts is a process in which athletes use all kinds of strengths and actions to make offensive and defensive changes according to the tactics of opponents. One such martial arts is Wushu arts as it has a long history in reference to Chinese martial arts. During the Wushu competition, Wushu athletes show their adaptability and technical level in complex, random, and nonlinear competitive abilities, organized and systematic skills, tactics, and position

APA, Harvard, Vancouver, ISO, and other styles

50

Min, Fanting. "Personalised Recommendation of PE Network Course Environment Resources Using Data Mining Analysis." Journal of Environmental and Public Health 2022 (August 16, 2022): 1–10. http://dx.doi.org/10.1155/2022/1032976.

Full text

Abstract:

PE education reform is positively influenced by the creation and use of resources for PE courses as a supplement to and development of traditional teaching strategies. In order to mine the vast amount of data in the network PE curriculum resource system and find useful patterns, this paper uses highly automated DM technology. Additionally, you can forecast users’ upcoming actions and suggest particular course resources to them. This recommendation system makes course resources that users might be interested in based on their browsing history, browsing patterns, and browsing preferences. User r

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!