This chapter contains the following main sections:

• Problem Description and Objectives
• The Available Data
  • Loading the Data into R
  • Exploring the Dataset
  • Data Problems
• Defining the Data Mining Tasks
  • Different Approaches to the Problem
  • Evaluation Criteria
  • Experimental Methodology
• Obtaining Outlier Rankings
  • Unsupervised Approaches
  • Supervised Approaches
  • Semi-Supervised Approaches
• Summary