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DATA MINING : PRACTICAL MACHINE LEARNING TOOLS AND TECHNIQUES, 4TH EDITION
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DATA MINING APPLICATIONS WITH R
Publisher:
ELSEVIER INDIA
| Author:
YANCHANG ZHAO
| Language:
English
| Format:
Paperback
Publisher:
ELSEVIER INDIA
Author:
YANCHANG ZHAO
Language:
English
Format:
Paperback
₹575 ₹460
Save: 20%
In stock
Ships within:
1-4 Days
In stock
ISBN:
SKU
9789351072188
Category Uncategorized
Category: Uncategorized
Page Extent:
514
Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. This book presents 15 different real-world case studies illustrating various techniques in rapidly growing areas. It is an ideal companion for data mining researchers in academia and industry looking for ways to turn this versatile software into a powerful analytic tool.
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Description
Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. This book presents 15 different real-world case studies illustrating various techniques in rapidly growing areas. It is an ideal companion for data mining researchers in academia and industry looking for ways to turn this versatile software into a powerful analytic tool.
About Author
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.
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