Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (2) (The Morgan Kaufmann Series in Data Management Systems)
By: and
Sign Up Now!
Already a Member? Log In
You must be logged into UK education collection to access this title.
Learn about membership options,
or view our freely available titles.
- Synopsis
- Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; and much more. This text is designed for information systems practitioners, programmers, consultants, developers, information technology managers, specification writers as well as professors and students of graduate-level data mining and machine learning courses.Algorithmic methods at the heart of successful data mining—including tried and true techniques as well as leading edge methodsPerformance improvement techniques that work by transforming the input or output
- Copyright:
- 2005
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 560 Pages
- ISBN-13:
- 9780080477022
- Related ISBNs:
- 9780120884070, 9780120884070
- Publisher:
- Elsevier Science
- Date of Addition:
- 04/16/21
- Copyrighted By:
- Elsevier Science & Technology
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.