Wang J. (Ed.) Data Mining: Opportunities and Challenges

Idea Group Publishing, 2003. — 485 p. — ISBN: 1591400511.A Survey of Bayesian Data Mining
Control of Inductive Bias in Supervised Learning Using Evolutionary Computation:
A Wrapper-Based Approach
Cooperative Learning and Virtual Reality-Based Visualization for Data Mining
Feature Selection in Data Mining
Parallel and Distributed Data Mining through Parallel Skeletons and Distributed
Objects
Data Mining Based on Rough Sets
The Impact of Missing Data on Data Mining
Mining Text Documents for Thematic Hierarchies Using Self-Organizing Maps
The Pitfalls of Knowledge Discovery in Databases and Data Mining
Maximum Performance Efficiency Approaches for Estimating Best Practice
Costs
Bayesian Data Mining and Knowledge Discovery
Mining Free Text for Structure
Query-By-Structure Approach for the Web
Financial Benchmarking Using Self-Organizing Maps – Studying the International
Pulp and Paper Industry
Data Mining in Health Care Applications
Data Mining for Human Resource Information Systems
Data Mining in Information Technology and Banking Performance
Social, Ethical and Legal Issues of Data Mining
Data Mining in Designing an Agent-Based DSS
Critical and Future Trends in Data Mining: A Review of Key Data Mining
Technologies/Applications