Educational Data Mining with R and Rattle
eBook - ePub

Educational Data Mining with R and Rattle

  1. 128 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Educational Data Mining with R and Rattle

About this book

Educational Data Mining (EDM) is one of the emerging fields in the pedagogy and andragogy paradigm, it concerns the techniques which research data coming from the educational domain. EDM is a promising discipline which has an imperative impact on predicting students' academic performance. It includes the transformation of existing, and the innovation of new approaches derived from multidisciplinary spheres of influence such as statistics, machine learning, psychometrics, scientific computing etc.An archetype that is covered in this book is that of learning by example. The intention is that reader will easily be able to replicate the given examples and then adapt them to suit their own needs of teaching-learning. The content of the book is based on the research work undertaken by the authors on the theme "Mining of Educational Data for the Analysis and Prediction of Students' Academic Performance". The basic know-how presented in this book can be treated as guide for educational data mining implementation using R and Rattle open source data mining tools..Technical topics discussed in the book include: • Emerging Research Directions in Educational Data Mining• Design Aspects and Developmental Framework of the System• Model Development - Building Classifiers• Educational Data Analysis: Clustering Approach

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Yes, you can access Educational Data Mining with R and Rattle by R.S. Kamath,R.K. Kamat in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Databases. We have over one million books available in our catalogue for you to explore.

Information

Year
2022
Print ISBN
9788793379312
eBook ISBN
9781000796797
Edition
1
Subtopic
Databases

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. Foreword
  8. Preface
  9. Acknowledgment
  10. List of Figures
  11. List of Tables
  12. List of Abbreviations
  13. 1 Introduction
  14. 2 Emerging Research Directions in Educational Data Mining
  15. 3 Design Aspects and Developmental Framework of the System
  16. 4 Model Development—Building Classifiers
  17. 5 Educational Data Analysis: Clustering Approach
  18. 6 Epilogue and Further Directions
  19. References
  20. Index
  21. About the Authors