Statistical Data Mining and Knowledge Discovery

Statistical Data Mining and Knowledge Discovery

Hamparsum Bozdogan | ISBN 1-58488-344-8 | 595 pgs | 24 mb

• 1. The Role of Bayesian and Frequentist MultivariateModeling in Statistical DataMining
• 2. Intelligent Statistical Data Mining with Information Complexity and Genetic Algorithms
• 3. Econometric and Statistical Data Mining, Prediction and Policy-Making
• 4. Data Mining Strategies for the Detection of Chemical Warfare Agents
• 5. Disclosure LimitationMethods Based on Bounds for Large Contingency Tables With Applications to Disability
• 6. Partial Membership Models with Application to Disability Survey Data
• 7. Automated Scoring of Polygraph Data
• 8. Missing Value Algorithms in Decision Trees
• 9. Unsupervised Learning from Incomplete Data Using a Mixture Model Approach
• 10. Improving the Performance of Radial Basis Function (RBF) Classification Using Information Criteria
• 11. Use of Kernel Based Techniques for Sensor Validation in Nuclear Power Plants
• 12. Data Mining and Traditional Regression
• 13. An Extended Sliced Inverse Regression
• 14. Using Genetic Programming to Improve the Group Method of Data Handling in Time Series Prediction
• 15. Data Mining for Monitoring Plant Devices Using GMDH and Pattern Classification
• 16. Statistical Modeling and Data Mining to Identify Consumer Preferences
• 17. Testing for Structural Change Over Time of Brand Attribute Perceptions in Market Segments
• 18. Kernel PCA for Feature Extraction with Information Complexity
• 19. Global Principal Component Analysis for DimensionalityReduction in Distributed Data Mining
• 20. A New Metric for Categorical Data
• 21. Ordinal Logistic Modeling Using ICOMP as a Goodness-of-Fit Criterion
• 22. Comparing Latent Class Factor Analysis with the Traditional Approach in Data Mining
• 23. On Cluster Effects in Mining Complex Econometric Data
• 24. Neural Network-Based Data Mining Techniques for Steel Making
• 25. Solving Data Clustering Problem as a String Search Problem
• 26. Behavior-Based Recommender Systems as Value-Added Services for Scientific Libraries
• 27. GTP (General Text Parser) Software for Text Mining
• 28. Implication Intensity: From the Basic Statistical Definition to the Entropic Version
• 29. Use of a Secondary Splitting Criterion in Classification Forest Construction
• 30. A Method Integrating Self-Organizing Maps to Predict the Probability of Barrier Removal
• 31. Cluster Analysis of Imputed Financial Data Using an Augmentation-Based Algorithm
• 32. Data Mining in Federal Agencies
• 33. STING: Evaluation of Scientific&Technological Innovation and Progress
• 34. The Semantic Conference Organizer

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