Data Mining Statistics

55 publications in Data Mining Statistics

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  1. Analytical Techniques in the Sciences Book Series
  2. Analyzing the Large Number of Variables in Biomedical and Satellite ImageryBook
  3. Applied Data Mining for Business and Industry, Second EditionBook
  4. Applied MANOVA and Discriminant Analysis, Second EditionBook
  5. Bayesian Models for Categorical DataBook
  6. Biometrics: Theory, Methods, and ApplicationsBook
  7. Biostatistics: A Methodology for the Health Sciences, Second EditionBook
  8. Chemometrics: From Basics to Wavelet Transform, Volume 164Book
  9. Cluster Analysis, 5th EditionBook
  10. Computational Intelligence and Feature Selection: Rough and Fuzzy ApproachesBook
  11. Concept Data Analysis: Theory and ApplicationsBook
  12. Data AnalysisBook
  13. Data Analysis: What Can Be Learned From the Past 50 YearsBook
  14. The DATA Bonanza: Improving Knowledge Discovery in Science, Engineering, and BusinessBook
  15. Data Engineering: Fuzzy Mathematics in Systems Theory and Data AnalysisBook
  16. Data Mining and Business Analytics with RBook
  17. Data Mining and Statistics for Decision MakingBook
  18. Data Mining for Genomics and Proteomics: Analysis of Gene and Protein Expression DataBook
  19. Data Mining Methods and ModelsBook
  20. Data Mining Techniques in CRM: Inside Customer SegmentationBook
  21. Data Mining the Web: Uncovering Patterns in Web Content, Structure, and UsageBook
  22. Data Mining Using SAS® Enterprise Miner™Book
  23. Data Mining: Concepts, Models, Methods, and Algorithms, Second EditionBook
  24. Discovering Knowledge in Data: An Introduction to Data MiningBook
  25. An Elementary Introduction to Statistical Learning TheoryBook
  26. Exploratory Data Mining and Data CleaningBook
  27. Finding Groups in Data: An Introduction to Cluster AnalysisBook
  28. Finite Mixture ModelsBook
  29. Graphical Models: Representations for Learning, Reasoning and Data Mining, Second EditionBook
  30. Independent Component AnalysisBook
  31. Introduction to Protein Structure Prediction: Methods and AlgorithmsBook
  32. Knowledge Discovery in Bioinformatics: Techniques, Methods, and ApplicationsBook
  33. Knowledge Discovery with Support Vector MachinesBook
  34. Learning from Data: Concepts, Theory, and Methods, Second EditionBook
  35. Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data MiningBook
  36. Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and ApplicationsBook
  37. Methods for Statistical Data Analysis of Multivariate Observations, Second EditionBook
  38. Mining Graph DataBook
  39. Modeling Online AuctionsBook
  40. Multi-Way Analysis with Applications in the Chemical SciencesBook

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