Educational Data Mining with R and Rattle (River Publishers Series in Innovation and Change in Education - Cross-cultural Perspective)

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9788793379312: Educational Data Mining with R and Rattle (River Publishers Series in Innovation and Change in Education - Cross-cultural Perspective)

Educational Data Mining (EDM) is one of the emerging fields in the pedagogy and andragogy paradigm. EDM concerns the techniques through which research data come 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 a 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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About the Author:

R.S. Kamath, Chhatrapati Shahu Institute of Business Education and Research, India and R.K. Kamat, Shivaji University, India.

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R. S. Kamath, R. K. Kamat
Editorial: River Publishers, Denmark (2016)
ISBN 10: 8793379315 ISBN 13: 9788793379312
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Descripción River Publishers, Denmark, 2016. Hardback. Estado de conservación: New. Language: English . Brand New 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. Nº de ref. de la librería AAN9788793379312

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Descripción River Publishers, 2016. HRD. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería CE-9788793379312

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R. S. Kamath, R. K. Kamat
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Descripción River Publishers, Denmark, 2016. Hardback. Estado de conservación: New. Language: English . Brand New 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. Nº de ref. de la librería AAN9788793379312

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Descripción 2016. HRD. Estado de conservación: New. New Book. Shipped from US within 10 to 14 business days. Established seller since 2000. Nº de ref. de la librería T8-9788793379312

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Descripción River Publishers, Denmark, 2016. Hardback. Estado de conservación: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New 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. Nº de ref. de la librería BTE9788793379312

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Descripción River Publishers, 2017. Hardcover. Estado de conservación: New. Never used! This item is printed on demand. Nº de ref. de la librería 8793379315

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Descripción River Publishers, 2016. Hardcover. Estado de conservación: Brand New. 128 pages. 9.25x6.13 inches. In Stock. Nº de ref. de la librería __8793379315

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