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 2 - Predicting Algae Blooms

• 2.1 Problem Description and Objectives
• 2.2 Data Description
• 2.3 Loading the Data into R
• 2.4 Data Visualization and Summarization
• 2.5 Unknown Values
• 2.5.1 Removing the observations with unknown values
• 2.5.2 Filling in the unknowns with the most frequent values
• 2.5.3 Filling in the unknown values by exploring correlations
• 2.5.4 Filling in the unknown values by exploring similarities between cases
• 2.6 Obtaining Prediction Models
• 2.6.1 Multiple linear regression
• 2.6.2 Regression trees
• 2.7 Model Evaluation and Selection
• 2.8 Predictions for the 7 Algae
• 2.9 Summary