Description: R and Data Mining : Examples and Case Studies, Hardcover by Zhao, Yangchang, ISBN 0123969638, ISBN-13 9780123969637, Like New Used, Free shipping in the US 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. Th 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.Presents an introduction into using R for data mining applications, covering most popular data mining techniquesProvides code examples and data so that readers can easily learn the techniquesFeatures case studies in real-world applications to help readers apply the techniques in their work
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Book Title: R and Data Mining : Examples and Case Studies
Number of Pages: 256 Pages
Language: English
Publication Name: Rand Data Mining : Examples and Case Studies
Publisher: Elsevier Science & Technology
Subject: Probability & Statistics / General, Desktop Applications / Databases, Databases / Data Mining
Publication Year: 2013
Type: Textbook
Item Length: 9 in
Author: Yanchang Zhao
Subject Area: Mathematics, Computers
Item Width: 6 in
Format: Hardcover
