Intelligent Technologies for Information Analysis

1. The Alchemy of Intelligent IT (iIT): A Blueprint for Future Information Technology.- I. Emerging Data Mining Technology.- 2. Grid-Based Data Mining and Knowledge Discovery.- 3. The MiningMart Approach to Knowledge Discovery in Databases.- 4. Ensemble Methods and Rule Generation.- 5. Evaluation Scheme for Exception Rule/Group Discovery.- 6. Data Mining for Targeted Marketing.- II. Data Mining for Web Intelligence.- 7. Mining for Information Discovery on the Web: Overview and Illustrative Research.- 8. Mining Web Logs for Actionable Knowledge.- 9. Discovery of Web Robot Sessions Based on Their Navigational Patterns.- 10. Web Ontology Learning and Engineering: An Integrated Approach.- 11. Browsing Semi-Structured Texts on the Web Using Formal Concept Analysis.- 12. Graph Discovery and Visualization from Textual Data.- III. Emerging Agent Technology.- 13. Agent Networks: Topological and Clustering Characterization.- 14. Finding the Best Agents for Cooperation.- 15. Constructing Hybrid Intelligent Systems for Data Mining from Agent Perspectives.- 16. Making Agents Acceptable to People.- IV. Emerging Soft Computing Technology.- 17. Constraint-Based Neural Network Learning for Time Series Predictions.- 18. Approximate Reasoning in Distributed Environments.- 19. Soft Computing Pattern Recognition, Data Mining and Web Intelligence.- 20. Dominance-Based Rough Set Approach to Knowledge Discovery (I): General Perspective.- 21. Dominance-Based Rough Set Approach to Knowledge Discovery (II): Extensions and Applications.- V. Statistical Learning Theory.- 22. Bayesian Ying Yang Learning (I): A Unified Perspective for Statistical Modeling.- 23. Bayesian Ying Yang Learning (II): A New Mechanism for Model Selection and Regularization.- Author Index.