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  1. [share_ebook] Mining Group Gold, Third Edition: How to Cash...
  2. Data Mining: Foundations and Intelligent Paradigms: Volume 2: Statistical, Bayesian, Time Series and other Theoretical Aspects
  3. Data Mining: Foundations and Intelligent Paradigms: Volume 3: Statistical, Bayesian, Time Series and other Theoretical Aspects
  4. Data Mining: Foundations and Intelligent Paradigms: Volume 1: Clustering, Association and Classification
  5. [share_ebook] Data Mining Techniques For Marketing, Sales, and Customer..
  6. [share_ebook] Data Mining: Concepts and Techniques, 3rd Edition
  7. Data Mining: Concepts and Techniques, 3rd Edition (repost)
  8. [share_ebook] Data Mining: Know It All [ReUpload]
  9. [share_ebook] Data Mining: Practical Machine Learning Tools and Techniques [ReUpload]
  10. [share_ebook] Mining the Web: Discovering Knowledge from Hypertext Data [ReUpload]
  11. [share_ebook] Data Mining: Concepts and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems) - Jian Pei
  12. [share_ebook] Classification and Modeling with Linguistic Information Granules: Advanced Approaches to Linguistic Data Mining (Advanced Information Processing) - Hisao Ishibuchi
  13. [share_ebook] Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
  14. [share_ebook] Data Mining: Practical Machine Learning Tools and Techniques, Third Edition
  15. [share_ebook] Web Information Systems and Mining: International Conference, WISM 2010, Sanya, China, October 23-24, 2010, Proceedings (Lecture Notes in Computer ... Applications, incl. Internet/Web, and HCI) - Fu Lee Wang, Zhiguo Gong, Jingsheng Lei
  16. [share_ebook] Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration
  17. [share_ebook] Data Mining: Concepts, Models, Methods, and Algorithms; 2ed - Mehmed Kantardzic
  18. [share_ebook] Data Mining and Predictive Analysis - Colleen McCue Ph.D. Experimental Psychology
  19. [share_ebook] Leisure and Recreation in a Victorian Mining Community - Alan Metcalfe
  20. Developing Multi-Database Mining Applications (Advanced Information and Knowledge Processing)

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