Description: R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. The book provides practical methods for using R in applications from academia to industry to extract knowledge from vast amounts of data. Readers will find this book a valuable guide to the use of R in tasks such as classification and prediction, clustering, outlier detection, association rules, sequence analysis, text mining, social network analysis, sentiment analysis, and more. Data mining techniques are growing in popularity in a broad range of areas, from banking to insurance, retail, telecom, medicine, research, and government. This book focuses on the modeling phase of the data mining process, also addressing data exploration and model evaluation. With three in-depth case studies, a quick reference guide, bibliography, and links to a wealth of online resources, R and Data Mining is a valuable, practical guide to a powerful method of analysis.
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EAN: 9780123969637
UPC: 9780123969637
ISBN: 9780123969637
MPN: N/A
Book Title: R and Data Mining: Examples and Case Studies by Ya
Item Length: 22.9 cm
Number of Pages: 256 Pages
Publication Name: Rand Data Mining: Examples and Case Studies
Language: English
Publisher: Elsevier Science Publishing Co Inc
Item Height: 229 mm
Subject: Computer Science, Mathematics
Publication Year: 2013
Type: Textbook
Item Weight: 570 g
Author: Yanchang Zhao
Item Width: 152 mm
Format: Hardcover
