Learning Data Mining with R
By :
Learning Data Mining with R
By:
Overview of this book
<p>Being able to deal with the array of problems that you may encounter during complex statistical projects can be difficult. If you have only a basic knowledge of R, this book will provide you with the skills and knowledge to successfully create and customize the most popular data mining algorithms to overcome these difficulties.</p>
<p>You will learn how to manipulate data with R using code snippets and be introduced to mining frequent patterns, association, and correlations while working with R programs. Discover how to write code for various predication models, stream data, and time-series data. You will also be introduced to solutions written in R based on RHadoop projects. You will finish this book feeling confident in your ability to know which data mining algorithm to apply in any situation.</p>
Table of Contents (19 chapters)
Learning Data Mining with R
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Warming Up
Mining Frequent Patterns, Associations, and Correlations
Classification
Advanced Classification
Cluster Analysis
Advanced Cluster Analysis
Outlier Detection
Mining Stream, Time-series, and Sequence Data
Graph Mining and Network Analysis
Mining Text and Web Data
Algorithms and Data Structures
Index
Customer Reviews