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Books on the topic 'Educative data mining'

Author: Grafiati

Published: 25 May 2024

Last updated: 19 July 2025

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1

Khan, Badrul H., Joseph Rene Corbeil, and Maria Elena Corbeil, eds. Responsible Analytics and Data Mining in Education. Routledge, 2018. http://dx.doi.org/10.4324/9780203728703.

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2

Cho, Ir-hyŏn. Haksŭp punsŏkhak ŭi ihae: Learning analytics. Pagyŏng story, 2019.

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3

Nazarov, Dmitriy, and Anton Kopnin. Information technologies in professional activity: data mining and business analytics. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2110964.

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Abstract:

The textbook offers a comprehensive look covering a wide range of topics related to the role of information technology in the modern world. Starting with an overview of the history of information technology and its evolution, the book introduces the reader to professions in the field of information and digital technologies, emphasizing them in various professional fields. The content of the textbook includes a detailed analysis of key concepts such as Data Science, Data Mining and Machine Learning, and their role in healthcare, law, education, science and business. The textbook provides a detailed overview of Data Science methods and algorithms, including teaching methods with and without a teacher, as well as specific methods such as Dematel. In the section on business intelligence tools, special attention is paid to Yandex Cloud DataLens, its data analysis functionality, and practical recommendations on registration, the use of intelligent detection of patterns in data, visualization and the development of analytical panels are provided. The section of the textbook devoted to the R and Python programming languages contains recommendations on the use of the R and Python programming languages for statistical data analysis, a description of the main data types, operations, and specific algorithms used for analytical purposes. This section provides a quick guide on how to use the RStudio and PyCharm tools. The final section is devoted to the application of data analysis tools in real projects, providing the reader with the opportunity to immerse themselves in the world of data processing using advanced technologies and techniques. The presentation of the material of each chapter is accompanied by control questions and tests to consolidate the theoretical material, located at the end of the chapter. This textbook will be an indispensable resource for students, professionals and researchers who want to deeply understand and apply information and digital technologies in their professional activities.

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4

service), SpringerLink (Online, ed. Modern Issues and Methods in Biostatistics. Springer Science+Business Media, LLC, 2011.

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5

Maine. Bureau of Employment Security., ed. Maine occupational staffing for selected nonmanufacturing industries: Mining, construction, finance, insurance, and real estate services, except hospital and education : data for second quarter 1990. The Division, 1992.

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6

United States. Congress. House. Committee on Homeland Security. Subcommittee on Cybersecurity, Infrastructure Protection, and Security Technologies. How data mining threatens student privacy: Joint hearing before the Subcommittee on Cybersecurity, Infrastructure Protection, and Security Technologies of the Committee on Homeland Security, House of Representatives and the Subcommittee on Early Childhood, Elementary, and Secondary Education of the Committee on Education and the Workforce, House of Representatives, One Hundred Thirteenth Congress, second session, June 25, 2014. U.S. Government Printing Office, 2015.

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7

Holzinger, Andreas. Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data: Third International Workshop, HCI-KDD 2013, Held at SouthCHI 2013, Maribor, Slovenia, July 1-3, 2013. Proceedings. Springer Berlin Heidelberg, 2013.

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8

Kolo, Ibrahim A. Educational restoration in the Niger State College of Education: September 2001-2003 : being a speech at the 19th to 23rd convocation ceremony of the Niger State College of Education, Minna : date, Saturday, March 22nd 2003 : venue, college convocation ground. Niger State College of Education, 2003.

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9

Pandey, 1st Manish, and 2nd Rakesh Kumar. Data Warehousing and Mining. Selfypage Developers Pvt Ltd, 2022.

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10

Application Research of Data Mining Technology. LONGMAN PRESS LTD, 2023.

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11

GEETHA N DATA SCIENTIST, BENGALURU, Geetha N. Data Scientist, PIYUSH KUMAR PAREEK NITTE MEENAKSHI INSTITUTE OF TECHNOLOGY, BENGALURU, Piyush Kumar Pareek Nitte Meenakshi Institute O. F. Technology, and Manju D. S. R. I. Venkateswara College O. F. ENGINEERING. Bengaluru MANJU D SRI VENKATESWARA COLLEGE OF ENGINEERING. BENGALURU. Education Data Mining for Predicting Students' Performance. Lulu Press, Inc., 2022.

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12

Corbeil, Joseph Rene, and Maria Elena Corbeil. Responsible Analytics and Data Mining in Education. Routledge, 2018.

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13

Handbook of educational data mining. Taylor & Francis Group, 2011.

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14

Educational Data Mining: Applications and Trends. Springer International Publishing AG, 2013.

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15

Peña-Ayala, Alejandro. Educational Data Mining: Applications and Trends. Springer, 2016.

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16

Peña-Ayala, Alejandro. Educational Data Mining: Applications and Trends. Springer London, Limited, 2013.

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17

Kamat, R. K., and R. S. Kamath. Educational Data Mining with R and Rattle. River Publishers, 2022.

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18

Kamat, R. K., and R. S. Kamath. Educational Data Mining with R and Rattle. River Publishers, 2016.

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19

Kamat, R. K., and R. S. Kamath. Educational Data Mining with R and Rattle. River Publishers, 2022.

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20

Kamat, R. K., and R. S. Kamath. Educational Data Mining with R and Rattle. River Publishers, 2016.

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21

Kamat, R. K., and R. S. Kamath. Educational Data Mining with R and Rattle. River Publishers, 2022.

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22

Earl, Lorna, Mei Kuin Lai, and Kim Schildkamp. Data-Based Decision Making in Education: Challenges and Opportunities. Springer London, Limited, 2012.

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23

Earl, Lorna, Mei Kuin Lai, and Kim Schildkamp. Data-based Decision Making in Education: Challenges and Opportunities. Springer, 2014.

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24

Sajja, Priti Srinivas, Chintan Bhatt, and Sidath Liyanage. Utilizing Educational Data Mining Techniques for Improved Learning. IGI Global, 2019.

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25

Cabezuelo, Antonio Sarasa, and Ramón González del Campo Rodríguez Barbero, eds. Data Mining and Computational Intelligence for E-learning and Education. MDPI, 2025. https://doi.org/10.3390/books978-3-7258-4029-8.

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26

Lynch, Collin, and Agathe Merceron. Proceedings of the 12th International Conference on Educational Data Mining. IEDMS, 2019.

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27

Rafferty, Anna, Jacob Whitehill, and Violetta Cavalli-Sforza. Proceedings of the 13th International Conference on Educational Data Mining. IEDMS, 2020.

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28

Mitrovi, Antonija, and Nigel Bosch. Proceedings of the 15th International Conference on Educational Data Mining. IEDMS, 2022.

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29

Feng, Mingyu, Tanja Käser, and Partha Talukdar. Proceedings of the 16th International Conference on Educational Data Mining. IEDMS, 2023.

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30

Hsiao, I.-Han, Shaghayegh Sahib, and François Bouchet. Proceedings of the 14th International Conference on Educational Data Mining. IEDMS, 2021.

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31

Simpson, Roy L., Charlotte A. Weaver, Connie W. Delaney, Judith J. Warren, and Thomas R. Clancy. Big Data-Enabled Nursing: Education, Research and Practice. Springer, 2018.

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32

Zaïane, Osmar R., Samira ElAtia, and Donald Ipperciel. Data Mining and Learning Analytics: Applications in Educational Research. Wiley & Sons, Limited, John, 2016.

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33

ElAtia, Samira, Donald Ipperciel, and Osmar R. Za�ane. Data Mining and Learning Analytics: Applications in Educational Research. Wiley & Sons, Incorporated, John, 2016.

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34

ElAtia, Samira, Donald Ipperciel, and Osmar R. Za�ane. Data Mining and Learning Analytics: Applications in Educational Research. Wiley & Sons, Incorporated, John, 2016.

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35

Selfridge, Richard. Databusting for Schools: How to Use and Interpret Education Data. SAGE Publications Ltd, 2018.

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36

Selfridge, Richard. Databusting for Schools: How to Use and Interpret Education Data. SAGE Publications, Limited, 2016.

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37

Means, Barbara, Andrew Krumm, and Marie Bienkowski. Learning Analytics Goes to School: A Collaborative Approach to Improving Education. Taylor & Francis Group, 2018.

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38

Means, Barbara, Andrew Krumm, and Marie Bienkowski. Learning Analytics Goes to School: A Collaborative Approach to Improving Education. Taylor & Francis Group, 2018.

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39

Williamson, Ben. Big Data in Education: The Digital Future of Learning, Policy and Practice. SAGE Publications, Limited, 2017.

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40

Williamson, Ben. Big Data in Education: The Digital Future of Learning, Policy and Practice. SAGE Publications, Limited, 2017.

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41

Big Data in Education: The digital future of learning, policy and practice. 2017.

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42

Big Data in Education: The Digital Future of Learning, Policy and Practice. SAGE Publications, Limited, 2017.

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43

Big Data-Enabled Nursing: Education, Research and Practice. Springer, 2017.

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44

Dukas, Georg. Using data mining techniques to explore data generated from educational multiuser virtual environments. 2008.

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45

Johnson, Jeffrey Alan. Toward Information Justice: Technology, Politics, and Policy for Data in Higher Education Administration. Springer, 2018.

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46

Johnson, Jeffrey Alan. Toward Information Justice: Technology, Politics, and Policy for Data in Higher Education Administration. Springer, 2019.

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47

Sajja, Priti Srinivas, Chintan Bhatt, and Sidath Liyanage. Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities. IGI Global, 2019.

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48

Sajja, Priti Srinivas, Chintan Bhatt, and Sidath Liyanage. Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities. IGI Global, 2019.

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49

Sajja, Priti Srinivas, Chintan Bhatt, and Sidath Liyanage. Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities. IGI Global, 2020.

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50

Sajja, Priti Srinivas, Chintan Bhatt, and Sidath Liyanage. Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities. IGI Global, 2019.

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