|
![]() |
|||
|
||||
OverviewThis book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic data mining algorithms. It also contains chapters on a number of different techniques often used in data mining. Part III focuses on business applications of data mining. Full Product DetailsAuthor: David L Olson , Dursun DelenPublisher: Springer Imprint: Springer ISBN: 9786611179687ISBN 10: 6611179682 Pages: 182 Publication Date: 01 January 2008 Audience: General/trade , General Format: Electronic book text Publisher's Status: Active Availability: Out of stock ![]() The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of ContentsReviewsFrom the reviews: <p> Text analysis and data mining have become increasingly important capabilities in todaya (TM)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. a ] Summing Up: Recommended. Upper-division undergraduates and up. (H. J. Bender, CHOICE, Vol. 45 (11), August, 2008) Author InformationTab Content 6Author Website:Countries AvailableAll regions |