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Discovering Knowledge in Data

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Discovering Knowledge in Data

An Introduction to Data Mining

Daniel T. Larose, Chantal D. Larose

Wiley
Collection: Wiley Series on Methods and Applications in Data Mining
Publication date : 2014-06-02

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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

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About the book

Author

Daniel T. Larose , Chantal D. Larose

Imprint

Wiley

Collection

Wiley Series on Methods and Applications in Data Mining

Publication date

2014-06-02

Pages

336 pages

Print ISBN

9780470908747

Language

English

Ebook informations

EAN PDF

9781118873588

Price

£82.24

Copy count 0

Print count 336

File size 15790 Ko

Informations accessibility

EAN EPUB

9781118873571

Price

£82.24

Copy count 0

Print count 336

File size 10527 Ko

Informations accessibility

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About author(s)

Daniel T. Larose

Chantal D. Larose

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