Part VI: Advanced Methods

Chapter List

Chapter 33: Meta-Learning Concepts and Techniques
Chapter 34: Bias vs Variance Decomposition for Regression and Classification
Chapter 35: Mining with Rare Cases
Chapter 36: Mining Data Streams
Chapter 37: Mining High-Dimensional Data
Chapter 38: Text Mining and Information Extraction
Chapter 39: Spatial Data Mining
Chapter 40: Data Mining for Imbalanced Datasets: An Overview
Chapter 41: Relational Data Mining
Chapter 42: Web Mining
Chapter 43: A Review of Web Document Clustering Approaches
Chapter 44: Causal Discovery
Chapter 45: Ensemble Methods for Classifiers
Chapter 46: Decomposition Methodology for Knowledge Discovery and Data Mining
Chapter 47: Information Fusion Methods and Aggregation Operators
Chapter 48: Parallel and Grid-Based Data Mining Algorithms, Models and Systems for High-Performance KDD
Chapter 49: Collaborative Data Mining
Chapter 50: Organizational Data Mining
Chapter 51: Mining Time Series Data

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