R and Data Mining: Examples and Case Studies

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9780123969637: R and Data Mining: Examples and Case Studies

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

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L'autore:

A Senior Data Mining Analyst in Australia Government since 2009.
Before joining public sector, he was an Australian Postdoctoral Fellow (Industry) in the Faculty of Engineering & Information Technology at University of Technology, Sydney, Australia. His research interests include clustering, association rules, time series, outlier detection and data mining applications and he has over forty papers published in journals and conference proceedings. He is a member of the IEEE and a member of the Institute of Analytics Professionals of Australia, and served as program committee member for more than thirty international conferences.

Sinossi:

Book by Zhao Yanchang

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ISBN 10: 0123969638 ISBN 13: 9780123969637
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Descrizione libro Elsevier Science & Technology Books. Condizione libro: Brand New. Ships SAME or NEXT business day. We Ship to APO/FPO addr. Choose EXPEDITED shipping and receive in 2-5 business days within the United States. See our member profile for customer support contact info. We have an easy return policy. Codice libro della libreria 42869579

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Descrizione libro Elsevier Science Publishing Co Inc, United States, 2013. Hardback. Condizione libro: New. 231 x 152 mm. Language: English . Brand New Book. 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. Codice libro della libreria AAZ9780123969637

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Descrizione libro Elsevier Science Publishing Co Inc, United States, 2013. Hardback. Condizione libro: New. 231 x 152 mm. Language: English . Brand New Book. 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. Codice libro della libreria AAZ9780123969637

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Descrizione libro Academic Press 2013-01-31, 2013. Condizione libro: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Codice libro della libreria NU-GRD-04945667

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Descrizione libro Elsevier Science Publishing Co Inc 2013-01-23, San Diego, 2013. hardback. Condizione libro: New. Codice libro della libreria 9780123969637

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Descrizione libro Elsevier Science Publishing Co Inc. Hardback. Condizione libro: new. BRAND NEW, R and Data Mining: Examples and Case Studies, Yanchang Zhao, 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. Codice libro della libreria B9780123969637

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Descrizione libro Elsevier Science Publishing Co Inc, 2012. Condizione libro: New. 2012. 1st Edition. Hardcover. 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. Num Pages: 256 pages, black & white illustrations. BIC Classification: UMX; UNF. Category: (P) Professional & Vocational. Dimension: 236 x 155 x 22. Weight in Grams: 564. . . . . . . Codice libro della libreria V9780123969637

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Descrizione libro Hardback. Condizione libro: New. Not Signed; 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. book. Codice libro della libreria ria9780123969637_rkm

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