Data Mining with R : Learning with Case Studies
Torgo, Luis
Sold by Better World Books, Mishawaka, IN, U.S.A.
AbeBooks Seller since 3 August 2006
Used - Hardcover
Condition: Used - Good
Ships within U.S.A.
Quantity: 1 available
Add to basketSold by Better World Books, Mishawaka, IN, U.S.A.
AbeBooks Seller since 3 August 2006
Condition: Used - Good
Quantity: 1 available
Add to basketPages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Seller Inventory # 8986091-6
The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data Mining with R: Learning with Case Studies uses practical examples to illustrate the power of R and data mining.
Assuming no prior knowledge of R or data mining/statistical techniques, the book covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of analysis, and analytical tools. To present the main data mining processes and techniques, the author takes a hands-on approach that utilizes a series of detailed, real-world case studies:
With these case studies, the author supplies all necessary steps, code, and data.
Web Resource
A supporting website mirrors the do-it-yourself approach of the text. It offers a collection of freely available R source files that encompass all the code used in the case studies. The site also provides the data sets from the case studies as well as an R package of several functions.
Luis Torgo is an associate professor in the Department of Computer Science at the University of Porto in Portugal. 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.
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