Book Contents

• Cover
• Chapter 1: Introduction
• Chapter 2: Predicting Algae Blooms
• Chapter 3: Predicting Stock Market Returns
• Chapter 4: Detecting Fraudulent Transactions
• Chapter 5: Classifying Microarray Samples
• Bibliography
• Index
• Index of Data Mining Topics
• Index of R Functions

Chapter 4 - Detecting Fraudulent Transactions

• 4.1 Problem Description and Objectives
• 4.2 The Available Data
• 4.2.1 Loading the data into R
• 4.2.2 Exploring the data set
• 4.2.3 Data problems
• 4.3 Defining the Data Mining Tasks
• 4.3.1 Different approaches to the problem
• 4.3.2 Evaluation criteria
• 4.3.3 Experimental methodology
• 4.4 Obtaining Outlier Rankings
• 4.4.1 Unsupervised approaches
• 4.4.2 Supervised approaches
• 4.4.3 Semi-supervised approaches
• 4.5 Summary