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  1. [share_ebook] Data Mining in Biomedicine (Springer Optimization and Its Applications)
  2. [share_ebook] Data Mining and Knowledge Discovery Handbook (Springer series in solid-state sciences)
  3. [share_ebook] Principles of Data Mining (Undergraduate Topics in Computer Science)
  4. [share_ebook] Data Mining and Knowledge Discovery Handbook (Springer series in solid-state sciences)
  5. [share_ebook] Scientific Data Mining and Knowledge Discovery: Principles and Foundations
  6. [share_ebook] Classification and Modeling with Linguistic Information Granules: Advanced Approaches to Linguistic Data Mining (Advanced Information Processing) - Hisao Ishibuchi
  7. [share_ebook] Classification, Clustering, and Data Mining Applications - David Banks
  8. [share_ebook] Foundations and Novel Approaches in Data Mining - Tsau Young Lin, Setsuo Ohsuga
  9. [share_ebook] Advanced Data Mining and Applications: 5th International Conference - Jian Pei
  10. [share_ebook] Advanced Data Mining and Applications, Part II - Irwin King
  11. [share_ebook] Advanced Data Mining and Applications, Part I - Irwin King
  12. [share_ebook] Advanced Data Mining and Applications: 5th International Conference - Jian Pei
  13. [share_ebook] Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics
  14. [share_ebook] Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics
  15. [share_ebook] Agents and Data Mining Interaction - Ana L.C. Bazzan
  16. [share_ebook] Innovative Applications in Data Mining (Studies in Computational Intelligence) - Ed. By Nadia Nedjah, Luiza De Macedo Mourelle, Janusz Kacprzyk
  17. [share_ebook] Soft Computing in XML Data Management: Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision (Studies in Fuzziness and Soft Computing)
  18. [share_ebook] Large-Scale Parallel Data Mining (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
  19. [share_ebook] Agents and Data Mining Interaction - Ana L.C. Bazzan
  20. Principles of Data Mining

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