Oded Maimon & Lior Rokach 
Data Mining and Knowledge Discovery Handbook [PDF ebook] 

to Knowledge Discovery in Databases.- to Knowledge Discovery in Databases.- Preprocessing Methods.- Data Cleansing.- Handling Missing Attribute Values.- Geometric Methods for Feature Extraction and Dimensional Reduction.- Dimension Reduction and Feature Selection.- Discretization Methods.- Outlier Detection.- Supervised Methods.- to Supervised Methods.- Decision Trees.- Bayesian Networks.- Data Mining within a Regression Framework.- Support Vector Machines.- Rule Induction.- Unsupervised Methods.- Visualization and Data Mining for High Dimensional Datasets.- Clustering Methods.- Association Rules.- Frequent Set Mining.- Constraint-Based Data Mining.- Link Analysis.- Soft Computing Methods.- Evolutionary Algorithms for Data Mining.- Reinforcement-Learning: An Overview from a Data Mining Perspective.- Neural Networks.- On the Use of Fuzzy Logic in Data Mining.- Granular Computing and Rough Sets.- Supporting Methods.- Statistical Methods for Data Mining.- Logics for Data Mining.- Wavelet Methods in Data Mining.- Fractal Mining.- Interesting Measures.- Quality Assessment Approaches in Data Mining.- Data Mining Model Comparison.- Data Mining Query Languages.- Advanced Methods.- Meta-Learning.- Bias vs Variance Decomposition for Regression and Classification.- Mining with Rare Cases.- Mining Data Streams.- Mining High-Dimensional Data.- Text Mining and Information Extraction.- Spatial Data Mining.- Data Mining for Imbalanced Datasets: An Overview.- Relational Data Mining.- Web Mining.- A Review of Web Document Clustering Approaches.- Causal Discovery.- Ensemble Methods for Classifiers.- Decomposition Methodology for Knowledge Discovery and Data Mining.- Information Fusion.- Parallel and Grid-Based Data Mining.- Collaborative Data Mining.- Organizational Data Mining.- Mining Time Series Data.- Modelling medical diagnostic rules based on rough sets.- Data Mining in Medicine.- The statistical analysis of contingency table designs.- Learning Information Patterns in Biological Databases.- Computer Integrated Manufacturing: A Data Mining Approach.- Data Mining for Selection of Manufacturing Processes.- Learning expert systems in numerical analysis of structures.- Data Mining of Design Products and Processes.- ANSWER: Network monitoring using object-oriented rule.- Data Mining in Telecommunications.- Knowledge Discovery for Gene Regulatory Regions Analysis.- Data Mining for Financial Applications.- Data Mining for Intrusion Detection.- Data Mining for Intrusion Detection.- Fuzzy Cluster Analysis: Methods for Classification.- Data Mining for Software Testing.- Data Mining for CRM.- Data Mining for CRM.- Learning Internal Representation by Error Propagation.- Data Mining for Target Marketing.- Software.- Weka.- Oracle Data Mining.- Building Data Mining Solutions With OLE DB for DM and XML for Analysis.- LERS—A Data Mining System.- Gain Smarts Data Mining System for Marketing.- Wizsoft’s Wizwhy.- Data Engine.