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5. A Large-Scale, Hybrid Approach for Recommending Pages Based on Previous User Click Pattern and Content

8. Representations for Large-Scale Sequence Data Mining: A Tale of Two Vector Space Models

9. Diagnosis and Grading of Alzheimer’s Disease via Automatic Classification of FDG-PET Scans

10. Composite Kernels for Automatic Relevance Determination in Computerized Diagnosis of Alzheimer’s Disease

12. Min-Max Itemset Trees for Dense and Categorical Datasets

13. TRARM-RelSup: Targeted Rare Association Rule Mining Using Itemset Trees and the Relative Support Measure

14. Granular Approach for Protein Sequence Analysis

16. Automatically Extracting Web Data Records

19. Score Distribution Approach to Automatic Kernel Selection for Image Retrieval Systems

20. Using Score Distribution Models to Select the Kernel Type for a Web-Based Adaptive Image Retrieval System (AIRS)

21. Discovering Maximal Potentially Useful Association Rules Based on Probability Logic

22. GAMInG – A Framework for Generalization of Association Mining via Information Granulation

23. Use of Preference Relation for Text Categorization

28. Concept based retrieval by minimal term sets

30. Preface

33. Influence of Leadership Style on Information Systems Project Outcomes

34. A Unified Approach to Data Modeling and Retrieval for a Class of Image Database Applications

36. On the Necessity of Term Dependence in a Query Space for Weighted Retrieval.

37. Feature Selection and Effective Classifiers.

38. Modeling and Retrieving Images by Content.

40. Preface

47. Itemset trees for targeted association querying

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