TSK - Chapter 1 - Introduction

Data Mining : Non-trivial extraction of implicit, previously unknown and potentially useful information from data. Exploration & analysis, by automatic or semi-automatic means, of large quantities of data in order to discover meaningful patterns. 

• 1. Introduction
• Fields - business, medicine, science & engineering
• 1.1 What is Data Mining
• Different from Information Retrieval
• Integral part of KDD(Knowledge discovery in databases) 
• 1.2 Motivating Challenges
• Scalability, High Dimensionality, Heterogenous and complex data, Data Ownership and distribution, Non-traditional analysis
• 1.3 The Origins of Data Mining
• Relates to fields of Statistics, AI, Machine Learning & Pattern Recognition
• Built on Database technology, Parallel Computing, Distributed computing
• 1.4 Data Mining Tasks
• Predictive tasks, Descriptive tasks
• Predictive modeling - classification (discrete target variables), regression ( continuous target variables)
• Association analysis 
• Cluster analysis
• Anomaly detection 
• 1.5 Scope and Organizations of the Book

Ref : Introduction to Data Mining - Chapter 1. 

Link to ppt : http://www-users.cs.umn.edu/~kumar/dmbook/dmslides/chap1_intro.pdf