【2017新书第二版】Data Mining with R: Learning with Case Studies

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• Title: Data Mining with R: Learning with Case Studies, 2nd Edition
• Author: Luis Torgo
• Length: 446 pages
• Edition: 2
• Language: English
• Publisher: Chapman and Hall/CRC
• Publication Date: 2017-01-19
• ISBN-10: 1482234890
• ISBN-13: 9781482234893
  
  

• 
  

• Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining. Providing an extensive update to the best-selling first edition, this new edition is divided into two parts. The first part will feature introductory material, including a new chapter that provides an introduction to data mining, to complement the already existing introduction to R. The second part includes case studies, and the new edition strongly revises the R code of the case studies making it more up-to-date with recent packages that have emerged in R.

  
  

  The book does not assume any prior knowledge about R. Readers who are new to R and data mining should be able to follow the case studies, and they are designed to be self-contained so the reader can start anywhere in the document.

  The book is accompanied by a set of freely available R source files that can be obtained at the book’s web site. These files include all the code used in the case studies, and they facilitate the "do-it-yourself" approach followed in the book.

  Designed for users of data analysis tools, as well as researchers and developers, the book should be useful for anyone interested in entering the "world" of R and data mining.

• 
  About the Author

  Luís Torgo is an associate professor in the Department of Computer Science at the University of Porto in Portugal. He teaches Data Mining in R in the NYU Stern School of Business’ MS in Business Analytics program. An active researcher in machine learning and data mining for more than 20 years, Dr. Torgo is also a researcher in the Laboratory of Artificial Intelligence and Data Analysis (LIAAD) of INESC Porto LA.

• 
  Table of Contents

  Chapter 1:Introduction

  Part I R and Data Mining
  Chapter 2: Introduction to R
  Chapter 3: Introduction to Data Mining

  Part II Case Studies
  Chapter 4: Predicting Algae Blooms
  Chapter 5: Predicting Stock Market Returns
  Chapter 6: Detecting Fraudulent Transactions
  Chapter 7: Classifying Microarray Samples

  
  

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关键词：Data Mining Learning earning Studies Learn

Title: Data Mining with R: Learning with Case Studies, 2nd Edition

jasonwu24 发表于 2017-2-22 19:56

Title: Data Mining with R: Learning with Case Studies, 2nd Edition

Author: Luis Torgo[/back ...

好的呀好的

jasonwu24 发表于 2017-2-22 19:56

Title: Data Mining with R: Learning with Case Studies, 2nd Edition

Author: Luis Torgo[/back ...

谢谢分享

谢谢分享

thanks ..

jasonwu24 发表于 2017-2-22 19:56

Title: Data Mining with R: Learning with Case Studies, 2nd Edition

Author: Luis Torgo[/back ...

好的好的

谢谢楼主

比第一版内容多了不少啊！