Login

Larose, Daniel T.

Discovering Knowledge in Data: An Introduction to Data Mining

Larose, Daniel T. - Discovering Knowledge in Data: An Introduction to Data Mining, ebook

99,00€

Ebook, PDF with Adobe DRM
ISBN: 9780471687535
DRM Restrictions

Printing30 pages with an additional page accrued every day, capped at 30 pages
Copy to clipboard5 excerpts

Learn Data Mining by doing data mining

Data mining can be revolutionary-but only when it's done right. The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable analyst. Discovering Knowledge in Data: An Introduction to Data Mining provides both the practical experience and the theoretical insight needed to reveal valuable information hidden in large data sets.

Employing a "white box" methodology and with real-world case studies, this step-by-step guide walks readers through the various algorithms and statistical structures that underlie the software and presents examples of their operation on actual large data sets. Principal topics include:

* Data preprocessing and classification

* Exploratory analysis

* Decision trees

* Neural and Kohonen networks

* Hierarchical and k-means clustering

* Association rules

* Model evaluation techniques

Complete with scores of screenshots and diagrams to encourage graphical learning, Discovering Knowledge in Data: An Introduction to Data Mining gives students in Business, Computer Science, and Statistics as well as professionals in the field the power to turn any data warehouse into actionable knowledge.

An Instructor's Manual presenting detailed solutions to all the problems in the book is available online.

Keywords: COMPUTERS / General COM000000

Author(s)
Publisher
John Wiley and Sons, Inc.
Publication year
2005
Language
en
Edition
1
Category
Information Technology, Telecommunications
Format
Ebook
eISBN (PDF)
9780471687535
Printed ISBN
9780471666578

Similar titles