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Discovering Knowledge in Data Hardback -
by Daniel T. Larose
- Used
- Hardcover
Description
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Details
- Title Discovering Knowledge in Data
- Author Daniel T. Larose
- Binding Hardback
- Edition [ Edition: secon
- Condition Used
- Pages 336
- Volumes 1
- Language ENG
- Publisher John Wiley & Sons
- Date pp. 336 2nd Edition
- Illustrated Yes
- Features Illustrated, Index, Table of Contents
- Bookseller's Inventory # 63018910
- ISBN 9780470908747 / 0470908742
- Weight 1.49 lbs (0.68 kg)
- Dimensions 9.3 x 6.1 x 1 in (23.62 x 15.49 x 2.54 cm)
- Library of Congress subjects Data mining, COMPUTERS / Database Management / Data Mining
- Library of Congress Catalog Number 2013046021
- Dewey Decimal Code 006.312
About Cold Books New York, United States
Biblio member since 2012
From the rear cover
The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science, business, and health care, the process of discovering knowledge in data is more relevant than ever before.
This book provides the tools needed to thrive in today's big data world. The author demonstrates how to leverage a company's existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will "learn data mining by doing data mining". By adding chapters on data modelling preparation, imputation of missing data, and multivariate statistical analysis, Discovering Knowledge in Data, Second Edition remains the eminent reference on data mining.