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Articles from this Site
San Diego Software Industry Council Issues Call for Technical Papers on Analytics
M2007 Data Mining Conference Hitting 10th Year and Going Strong
A Raid on the Inarticulate: Text Mining Hits an Inflection Point
KXEN Analytic Framework Version 4 Pushes Data Mining Automation to Text Data Sources
SPSS Launches Enhanced Predictive Analytics Platform
White Papers
A Quantitative Market Research Primer
Reducing Churn in the Prepaid Segment in the Telecom Industry
Data Mining Tools for Analytics Applications in Retail
Web Seminars
Books
Business Intelligence: The IBM Solution: Data Warehousing and OLAP
Data Mining: Technologies, Techniques, Tools, and Trends
Machine Learning and Data Mining; Methods & Applications
Data Mining Solutions: Methods and Tools for Solving Real-World Problems
Mining Very Large Databases With Parallel Processing
Data Mining Tools for Analytics Applications in Retail
Segmentation Using Cluster Analysis & Product Positioning Using Market Basket Analysis
This document is intended to serve as reference for users looking to understand both the theoretical (statistical) aspects of the data mining tools discussed as well as to see how these tools can be applied to a real-life retail business problem.For more information on related topics, visit the following channels:


