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R And Data Mining - Elsevier Science Publishing Co Inc
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2013, ISBN: 9780123969637

ID: 16861518

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. 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. * Presents an introduction into using R for data mining applications, covering most popular data mining techniques* Provides code examples and data so that readers can easily learn the techniques* Features case studies in real-world applications to help readers apply the techniques in their work Books, Computing~~Computer Programming/Software Development~~Programming & Scripting Languages: General, R And Data Mining~~Book~~9780123969637~~Yanchang Zhao, , R And Data Mining, Yanchang Zhao, 9780123969637, Elsevier Science Publishing Co Inc, 01/23/2013, , , , Elsevier Science Publishing Co Inc

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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. Presents an introduction into using R for data mining applications, covering most popular data mining techniques Provides code examples and data so that readers can easily learn the techniques Features case studies in real-world applicationsto help readers apply the techniques in their work Computers Computers eBook, Elsevier Science

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Hardback. New. Introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. This book provides practical methods for using R in applications from academia to industry to extract knowledge from vast amounts of data.

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Details zum Buch
R and Data Mining
Autor:

Zhao, Yanchang

Titel:

R and Data Mining

ISBN-Nummer:

Detailangaben zum Buch - R and Data Mining


EAN (ISBN-13): 9780123969637
ISBN (ISBN-10): 0123969638
Gebundene Ausgabe
Erscheinungsjahr: 2013
Herausgeber: Elsevier LTD, Oxford
234 Seiten
Gewicht: 0,558 kg
Sprache: Englisch

Buch in der Datenbank seit 02.03.2008 20:30:30
Buch zuletzt gefunden am 11.01.2017 07:46:29
ISBN/EAN: 9780123969637

ISBN - alternative Schreibweisen:
0-12-396963-8, 978-0-12-396963-7


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