IDDM 2001 -- Camera-ready papers

Papers (ordered by first author)

  1. H. Blockeel, J. Struyf: Frankenstein Classifiers: Some experiments on the Sisyphus data set
  2. M. Bohanec, S. Moyle, D. Wettschereck, P. Miksovsky: A Software Architecture for Data Pre-Processing using Data Mining and Decision Support Models
  3. M. Bohanec, B. Zupan: Integrating Decision Support and Data Mining by Hierarchical Multi-Attribute Decision Models
  4. P. B. Brazdil, C. Soares, R. Pereira: Reducing Rankings of Classifiers by Eliminating Redundant Cases
  5. P. A. Flach, D. Gamberger: Subgroup evaluation and decision support for a direct mailing marketing problem
  6. J. Fürnkranz, J. Petrak: An Evaluation of Landmarking Variants
  7. T. Gärtner, S. Wu, P. A. Flach: Data Mining on the Sisyphus Dataset: Evaluation and Integration of Results
  8. V. Jovanoski, N. Lavrac: Classification Rule Learning with APRIORI-C
  9. I. Paterson, H. Berrer, J. Keller: The Focused Multi-Criteria Ranking Approach to Machine Learning Algorithm Selection - An Incremental Meta Learning Assistant for Data Mining Tasks
  10. Y. Peng, P. A. Flach: Soft Discretization to Enhance the Continuous Decision Tree Induction
  11. L. Popelinsky: Combining the Principal Components Method with Different Learning Algorithms
  12. S. Y. Sohn, H. Choi: Ensemble based on Data Envelopment Analysis
  13. E. Tapia, J. C. Gonzalez, J. Garcia-Villalba: On the design of error adaptive ECOC algorithms
  14. B. Zupan, J. Demsar, M. W. Kattan, M. Bohanec, J. R. Beck: Orange and Decisions-at-Hand: Bridging Predictive Data Mining and Decision Support
  15. B. Zenko, L. Todorovski, S. Dzeroski: A comparison of stacking with MDTs to bagging, boosting, and other stacking methods

The papers are in PDF format, readable by Acrobat Reader (click to download if needed).