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URL :  R and Data Mining: Examples and Case Studies
Author : Yanchang Zhao
Detail : 2013 | PDF | 2.2 Mb | 160 pages

eBook License:
Public Access from https://cran.r-project.org/

This book introduces into using R for data mining.  It presents many examples of various datamining functionalities in R and three case studies of real-world applications. The supposed audience of this book are postgraduate students, researchers and data miners who are interested in using R to do their data mining research and projects.

We assume that readers already have a basic idea of data mining and also have some basic experience with R. We hope that this book will encourage more and more people to use R to do data mining work in their research and applications. (From Author)

eBook Contents

Introduction – Data Import and Export – Data Exploration – Decision Trees and Random Forest – Regression – Clustering – Outlier Detection – Time Series Analysis and Mining – Association Rules – Text Mining – Social Network Analysis – Case Study I - Case Study II - Case Study III – Online Resources
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