Reading List

Data Preprocessing

• Wrappers for Feature Subset Selection
• A survey of dimension reduction techniques
• A tutorial on Principal Component Analysis
• Supervised and Unsupervised Discretization of Continuous Features
• Error-Based and Entropy-Based Discretization of Continuous Features
• Enhancing Data Analysis with Noise Removal

Classification

• Decision Trees
  • Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
  • Simplifying Decision Trees: A Survey
  • Induction of Oblique Decision Trees
  • Improved Class Probability Estimates from Decision Tree Models
• Model Selection and Evaluation
  • A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
  • Improvements on Cross-Validation: The .632+ Bootstrap Method
  • Cross-Validation and the Bootstrap: Estimating the Error Rate of a Prediction Rule
• Rule-based
  • Fast effective rule induction
• Instance-based
  • A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features
• Support vector machines
  • A tutorial on Support Vector Machines for Pattern Recognition
• Ensemble Methods
  • A brief introduction to boosting
  • Bagging, boosting, and C4.5
• Class Imbalance, ROC, and cost-sensitive learning
  • Editorial: Special Issue on Learning from imbalanced data sets
  • Robust classification for imprecise environments
  • MetaCost: A General Method for Making Classifiers Cost-Sensitive
  • SMOTE: Synthetic Minority Over-sampling Technique

Association Analysis

• Association Rule Mining
  • Fast Algorithms for Mining Association Rules
  • Mining Frequent Patterns without Candidate Generation
  • Hyperclique Pattern Discovery
• Statistical Computing
  • Exploiting a Support-based Upper Bound of Pearson's Correlation Coefficient for Efficiently Identifying Strongly Correlated Pairs

Spatial Data Mining/GIS