Book Materials

                      Chapter 1   Introduction

                      Chapter 2   Knowledge DiscoveryProcess

                      Chapter 3   Data

                      Chapter 4   Concept of Learning,classification and regression

                      Chapter 5   Knowledge Representation

                      Chapter 6   Databases, Data Warehouses and OLAP

                      Chapter 7   Feature extraction&selection methods Part 1 Part 2 Part 3

                      Chapter 8   Discretization

                      Chapter 9   Unsupervised Learning – Clustering Part 1 Part 2

                      Chapter 10 Association rules

                      Chapter 11 Supervised Learning:Statistical Methods

                      Chapter 12 Supervised learning -Decision Trees, Rule Algorithms and Hybrids Part 1 Part 2

                      Chapter 13 Supervised learning - Neural Networks

                      Chapter 14 Text Mining Part 1 Part 2

                      Chapter 15 Assessment of data models Part 1 Part 2

                      Chapter 16 Data Security, Privacy, and Data Mining