Preface. Introduction. Part I: Knowledge Discovery and Data Mining. 1. Knowledge Discovery Tasks. 2. Knowledge Discovery Paradigms. 3. The Knowledge Discovery Process. 4. Data Mining. 5. Data Mining Tools. Part II: Parallel Database Systems. 6. Basic Concepts on Parallel Processing. 7. Data Parallelism, Control Parallelism and Related Issues. 8. Parallel Database Servers. Part III: Parallel Data Mining. 9. Approaches to Speed up Data Mining. 10. Parallel Data Mining Without DBMS Facilities. 11. Parallel Data Mining With Database Facilities. 12. Summary and Some Open Problems. References. Index.
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