Discovering Knowledge in Data - An Introduction to Data Mining 2e (Hardcover, 2nd Edition)

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 . * The second edition of a highly praised, successful reference on data mining, with thorough coverage of big data applications, predictive analytics, and statistical analysis. * Includes new chapters on Multivariate Statistics, Preparing to Model the Data, and Imputation of Missing Data, and an Appendix on Data Summarization and Visualization * Offers extensive coverage of the R statistical programming language * Contains 280 end-of-chapter exercises * Includes a companion website for university instructors who adopt the book

General

Imprint:	John Wiley & Sons
Country of origin:	United States
Release date:	July 2014
First published:	July 2014
Authors:	DT Larose
Dimensions:	234 x 156 x 19mm (L x W x T)
Format:	Hardcover
Pages:	336
Edition:	2nd Edition
ISBN-13:	978-0-470-90874-7
Categories:	Books > Computing & IT > Applications of computing > Databases > Data mining Promotions
LSN:	0-470-90874-2
Barcode:	9780470908747

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