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3. Stream Data Mining: Algorithms and Their Probabilistic Properties

4. Infrastruktur für ein Data Mining Design Framework : Eine Untersuchung mit Fallbeispielen

5. Data Mining : Theories, Algorithms, and Examples

6. Ensemble Methods in Data Mining : Improving Accuracy Through Combining Predictions

7. Incremental algorithms for multilinear principal component analysis of tensor objects

8. Budget-limited data disambiguation

9. Mathematical Methods for Knowledge Discovery and Data Mining

10. Ensemble methods and hybrid algorithms for computational and systems biology

11. Mathematical methods for knowledge discovery and data mining

12. Mathematical methods for knowledge discovery and data mining

13. Algorithmic aspects of social network mining.

14. Mining a shared concept space for domain adaptation in text mining.

15. Entity discovery by exploiting contextual structures.

16. Analyzing software repository data to synthesize and visualize relationships between development artifacts

17. Entity discovery by exploiting contextual structures.

18. Link-based similarity measurement techniques and applications.

19. Mining a shared concept space for domain adaptation in text mining.

20. Logic knowledge base refinement using unlabeled or limited labeled data.

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