NUST Institutions Library Catalogue

Data Mining Technologies: For Marketing sales and Customer Relationship Management

By: [Michael J. A. Berry, Gordon S. Lonoff]Material type: TextTextPublisher: India Wiley 2007Edition: 2nd EdDescription: xix, 643:pagesISBN: 81-265-0517-6DDC classification: 658.802,BER
Contents:
Why 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).
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Item type Current location Home library Shelving location Call number Status Notes Date due Barcode Item holds
Book Book Military College of Signals (MCS)
Military College of Signals (MCS)
General Stacks 658.802,BER (Browse shelf) Available Almirah no.55, Shelf no.3 MCS34478
Total holds: 0

Why 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).

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