Free Delivery Over $100
|
|
|||
|
||||
OverviewData Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributions mark a paradigm shift from data-centered pattern mining to domain driven actionable knowledge discovery for next-generation KDD research and applications. The contents identify how KDD techniques can better contribute to critical domain problems in theory and practice, and strengthen business intelligence in complex enterprise applications. The volume also explores challenges and directions for future research and development in the dialogue between academia and business. Full Product DetailsAuthor: Longbing Cao (University of Technolog, Sydney, Australia University of Technology, Sydney, Australia University of Technolog, Sydney, Australia University of Technolog, Sydney, Australia) , Philip Yu , Chengqi Zhang (University of Technology, Sydney, Australia) , Huaifeng ZhangPublisher: Springer Us Imprint: Springer Us ISBN: 9781281810861ISBN 10: 128181086 Pages: 302 Publication Date: 01 January 2009 Audience: General/trade , General Format: Undefined Publisher's Status: Active Availability: In stock  We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
||||
