Educational Data Mining with R and Rattle

by Kamath, R. S.

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Title Statements

Full title :Educational Data Mining with R and Rattle.

Summary

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

Edition Statements

Publication Date:2016.

Publication Statements

Publisher(s):River Publishers
Place of Publication:Aalborg
Language:eng
Publication Date:2016.

Notes

5.7 K-means Clustering.

The Physical Object

Description:1 online resource (127 pages)

Edition Identifiers

ISBN:8793379307, 9788793379305, 9781003338024, 100333802X, 9781000796797, 1000796795, 9781000793635, 100079363X
DOI:10.1201/9781003338024
oclc:ocn957700363
LC Classification:LB1028.43
Dewey Decimal:370.285

Cover; Half Titlle page; River Publishers Series Page; Title Page -- Educational Data Mining with R and Rattle; Copyright Page; Contents; Foreword; Preface; Acknowledgment; List of Figures; List of Tables; List of Abbreviations; Chapter 1 -- Introduction; 1.1 Introduction; 1.2 Data Mining; 1.2.1 System Architecture; 1.2.2 Mining Process; 1.2.3 Functions and Products; 1.2.4 Significance and Applications; 1.3 Educational Data Mining-An Area under the Umbrella of Data Mining; 1.3.1 EDMTasks; 1.3.2 Techniques; 1.4 Research Problem; 1.4.1 Research Motivation; 1.4.2 Problem Statement.

1.4.3 Objectives1.5 R Data Mining Tool; 1.5.1 R Installation; 1.5.2 R Mining; 1.6 Rattle Data Mining Tool; 1.6.1 Rattle Installation; 1.6.2 Loading Rattle Package; 1.7 Reason for R and Rattle; Chapter 2 -- Emerging Research Directions in Educational Data Mining; 2.1 Introduction; 2.2 Prior Art Vis-à-vis of Research; 2.2.1 Educational Data Mining; 2.2.2 Data Mining Using R; 2.2.3 Mining Students' Academic Performance; 2.2.4 Factors Affecting on Students' Academic Performance; 2.2.5 Evaluation of Student Performance; 2.2.6 Knowledge Management System; 2.2.7 Placement Chance Prediction.

2.2.8 Mining Associa…