About the Book:
The book supplies organizations with the data management tools that will allow them to harness the critical facts and figures needed to improve their bottom line.
1. Demonstrates how the transformation of data into business intelligence is an essential aspect of strategic decision-making
2. Emphasizes the use of data mining concepts in real-world scenarios with large database components
3. Focuses on data mining and forecasting methods in conducting market research
Table of Contents
TECHNIQUES OF DATA MINING An Approach to Analyzing and Modeling Systems for Real-Time Decisions
Ensemble Strategies for Neural Network Classifiers
Data Cleansing with Independent Component Analysis
APPLICATIONS OF DATA MINING Data Mining Applications in Higher Education
Data Mining for Market Segmentation with Market Share Data
An Enhancement of the Pocket Algorithm
with Ratche for Use in Data Mining Applications
Identification and Prediction of Chronic Conditions
for Health Plan Members Using Data Mining Techniques
Data Mining for Individual Consumer Models and Personalized Retail Promotions
OTHER AREAS OF DATA MINING Data Mining Common Definitions, Applications, and Misunderstandings
Fuzzy Sets in Data Mining and Ordinal Classification
Developing an Associative Keyword Space of the Data Mining Literature through Latent Semantic Analysis
A Classification Model for a Two-Class (New Product Purchase) Discrimination Process using Multiple-Criteria Linear Programming
