part 1 Part I: Introduction and Background -- chapter 1 Less Is More / chapter 2 Unsupervised Feature Selection / chapter 3 Randomized Feature Selection / chapter 4 Causal Feature Selection / part 2 Part II: Extending Feature Selection -- chapter 5 Active Learning of Feature Relevance / chapter 6 A Study of Feature Extraction Techniques Based on Decision Border Estimate / chapter 7 Ensemble-Based Variable Selection Using Independent Probes -- chapter 8 Efficient Incremental-Ranked Feature Selection in Massive Data / part 3 Part III: Weighting and Local Methods -- chapter 9 Non-Myopic Feature Quality Evaluation with (R)ReliefF / chapter 10 Weighting Method for Feature Selection in K-Means / chapter 11 Local Feature Selection for Classification / chapter 12 Feature Weighting through Local Learning / part 4 Part IV: Text Classification and Clustering -- chapter 13 Feature Selection for Text Classification / chapter 14 A Bayesian Feature Selection Score Based on Na¨ıve Bayes Models / chapter 15 Pairwise Constraints-Guided Dimensionality Reduction / chapter 16 Aggressive Feature Selection by Feature Ranking / part 5 Part V: Feature Selection in Bioinformatics -- chapter 17 Feature Selection for Genomic Data Analysis / chapter 18 A Feature Generation Algorithm with Applications to Bio- logical Sequence Classification / chapter 19 An Ensemble Method for Identifying Robust Features for Biomarker Discovery / chapter 20 Model Building and Feature Selection with Genomic Data