Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (10 chapters)
-
Front Matter
-
Introduction
-
Front Matter
-
-
Applications
-
Front Matter
-
-
Back Matter
About this book
Reviews
From the reviews:
"Text analysis and data mining have become increasingly important capabilities in today’s information-flooded world, and choosing the right technique makes all the difference. This book contains some advanced data mining techniques, but also includes an overview of important data mining fundamentals, specifically the CRISP-DM and SEMMA industry standards. … Summing Up: Recommended. Upper-division undergraduates and up." (H. J. Bender, CHOICE, Vol. 45 (11), August, 2008)
Authors and Affiliations
-
Department of Management Science, University of Nebraska, Lincoln, USA
David L. Olson
-
Department of Management, Science and Information Systems, Tulsa, USA
Dursun Delen
Bibliographic Information
Book Title: Advanced Data Mining Techniques
Authors: David L. Olson, Dursun Delen
DOI: https://doi.org/10.1007/978-3-540-76917-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Softcover ISBN: 978-3-540-76916-3Published: 21 January 2008
eBook ISBN: 978-3-540-76917-0Published: 01 January 2008
Edition Number: 1
Number of Pages: XII, 180
Number of Illustrations: 21 b/w illustrations
Topics: IT in Business, Operations Research/Decision Theory, Data Mining and Knowledge Discovery