Book Image

Learning Data Mining with R

By : Bater Makhabel
Book Image

Learning Data Mining with R

By: Bater Makhabel

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
Algorithms and Data Structures
Index

Time for action


Here are some practice questions for you to check whether you understood the concepts we covered in this chapter:

  1. What is the PAM clustering algorithm?

  2. What is the k-means algorithm?

  3. What is the k-medoids algorithm?

  4. What is the CLARA algorithm?

  5. What is the CLARANS algorithm?