000			01453nam a22001817a 4500
003			NUST
005			20230819112002.0
008			230819b ||||| |||| 00| 0 eng d
020			_a81-265-0517-6
082			_a658.802,BER
100			_4Michael J. A. Berry, Gordon S. Lonoff
245			_aData Mining Technologies: _bFor Marketing sales and Customer Relationship Management
250			_a2nd Ed
260			_aIndia _bWiley _c2007
300			_axix, 643:pages
505			_aWhy and What is Data Mining? (Page-1), The Virtuous Cycle of Data Mining (Page-21), Data Mining Methodology and Best Practices (Page-43), Data Mining Applications in Marketing and Customer Relationship Management (Page-87), The Lure of Statistics: Data Mining using Families Tools (Page-123), Decision Trees (Page-165), Artificial Neural Networks (Page-211), Nearest Neighbor Approaches: Memory-Based Reasoning and Collaborative Filtering (Page-257), Market Basket Analysis and Association Rules (Page-287), Link Analysis (Page-321), Automatic Cluster Detection (Page-349), Knowing when to Worry: Hazard Functions and Survival Analysis in Marketing (Page-383), Genetic Algorithms (Page-421), Data Mining throughout the Customer Life Cycle (Page-447), Data Warehousing, OLAP, and Data Mining (Page-473), Building the Data Mining Environment (Page-513), Preparing Data for Mining (Page-539), Putting Data Mining to work (Page-597).
942			_2ddc _cBK
999			_c595590 _d595590