📖 Discovering Knowledge in Data
Sunday, November 4, 2018 by dev
Discovering Knowledge in Data
By:Daniel T. Larose
Published on 2014-06-02 by John Wiley & Sons
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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Book ID of Discovering Knowledge in Data's Books is UGu8AwAAQBAJ, Book which was written byDaniel T. Larosehave ETAG "J6byNzt+K14"
Book which was published by John Wiley & Sons since 2014-06-02 have ISBNs, ISBN 13 Code is 9781118873571 and ISBN 10 Code is 1118873572
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