Preface
This book presents 15 real-world applications on data mining with R, selected from 44 submissions based on peer-reviewing. Each application is presented as one chapter, covering business background and problems, data extraction and exploration, data preprocessing, modeling, model evaluation, findings, and model deployment. The applications involve a diverse set of challenging problems in terms of data size, data type, data mining goals, and the methodologies and tools to carry out analysis. The book helps readers to learn to solve real-world problems with a set of data mining methodologies and techniques and then apply them to their own data mining projects.
R code and data for the book are provided at the RDataMining.com Website http://www.rdatamining.com/books/dmar ...
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