Data Mining: Foundations and Intelligent Paradigms

1. Advances in Intelligent Data Mining
Dawn E. Holmes, Jeffrey W. Tweedale, Lakhmi C. Jain

2. Temporal Pattern Mining for Medical Applications
Giulia Bruno, Paolo Garza

3. BioKeySpotter: An Unsupervised Keyphrase Extraction Technique in the Biomedical Full-Text Collection
Min Song, Prat Tanapaisankit

4. Mining Health Claims Data for Assessing Patient Risk
Ian Duncan

5. Mining Biological Networks for Similar Patterns
Ferhat Ay, Günhan Gülsoy, Tamer Kahveci

6. Estimation of Distribution Algorithms in Gene Expression Data Analysis
Elham Salehi, Robin Gras

7. Gene Function Prediction and Functional Network: The Role of Gene Ontology
Erliang Zeng, Chris Ding, Kalai Mathee, Lisa Schneper, Giri Narasimhan

8. Mining Multiple Biological Data for Reconstructing Signal Transduction Networks
Thanh-Phuong Nguyen, Tu-Bao Ho

9. Mining Epistatic Interactions from High-Dimensional Data Sets
Xia Jiang, Shyam Visweswaran, Richard E. Neapolitan

10. Knowledge Discovery in Adversarial Settings
D. B. Skillicorn

11. Analysis and Mining of Online Communities of Internet Forum Users
Mikołaj Morzy

12. Data Mining for Information Literacy
Bettina Berendt

13. Rule Extraction from Neural Networks and Support Vector Machines for Credit Scoring
Rudy Setiono, Bart Baesens, David Martens

14. Using Self-Organizing Map for Data Mining: A Synthesis with Accounting Applications
Andriy Andreev, Argyris Argyrou

15. Applying Data Mining Techniques to Assess Steel Plant Operation Conditions
Khan Muhammad Badruddin, Isao Yagi, Takao Terano

Avainsanat: Engineering, Computational Intelligence, Artificial Intelligence (incl. Robotics), Operations Research/Decision Theory