This chapter contains the following main sections:

• A Bird’s Eye View on Data Mining
• Data Collection and Business Understanding
  • Data and Datasets
  • Importing Data into R
• Data Pre-Processing
  • Data Cleaning
  • Transforming Variables
  • Creating Variables
  • Dimensionality Reduction
• Modeling
  • Exploratory Data Analysis
  • Dependency Modeling using Association Rules
  • Clustering
  • Anomaly Detection
  • Predictive Analytics
• Evaluation
  • The Holdout and Random Subsampling
  • Cross Validation
  • Bootstrap Estimates
  • Recommended Procedures
• Reporting and Deployment
  • Reporting Through Dynamic Documents
  • Deployment Through Web Applications