Discovering Knowledge in Data: An Introduction to Data Mining (Wiley Series on Methods and Applications in Data Mining)
ISBN-13:
9780470908747
ISBN-10:
0470908742
Edition:
2
Author:
Daniel T. Larose, Chantal D. Larose
Publication date:
2014
Publisher:
Wiley
Format:
Hardcover
336 pages
Category:
Data Mining
,
Databases & Big Data
,
Data Warehousing
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Book details
ISBN-13:
9780470908747
ISBN-10:
0470908742
Edition:
2
Author:
Daniel T. Larose, Chantal D. Larose
Publication date:
2014
Publisher:
Wiley
Format:
Hardcover
336 pages
Category:
Data Mining
,
Databases & Big Data
,
Data Warehousing
Summary
Discovering Knowledge in Data: An Introduction to Data Mining (Wiley Series on Methods and Applications in Data Mining) (ISBN-13: 9780470908747 and ISBN-10: 0470908742), written by authors
Daniel T. Larose, Chantal D. Larose, was published by Wiley in 2014.
With an overall rating of 3.8 stars, it's a notable title among other
Data Mining
(Databases & Big Data, Data Warehousing) books. You can easily purchase or rent Discovering Knowledge in Data: An Introduction to Data Mining (Wiley Series on Methods and Applications in Data Mining) (Hardcover) from BooksRun,
along with many other new and used
Data Mining
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Description
NOTE: Solution manual is available in the companion site. The link is provided on page 19 in the second paragraph of section 2.3 in the book.
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 with further resources for all readers, and Powerpoint slides, a solutions manual, and suggested projects for instructors who adopt the book
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