Contents:                                                                                                         Page No.
1.   An Introduction to Data Mining                                                                     3
1.1 Overview          
1.2 What is data mining good for?          
2.   The Foundations of Data Mining         4
3.   The Scope of Data Mining                                                                               6
4.   How Data Mining Works         8
5.   Architecture for Data Mining         10
6.   Profitable Applications         12
7.   Advantages Of Data Mining                                             13
7.1 Marking/Retailing
7.2 Banking/Crediting
7.3 Law enforcement
7.4 Researchers
8.   Disadvantages Of Data Mining                                                                     14
8.1 Privacy Issues
8.2 Security issues
8.3 Misuse of information/inaccurate information      

9. Conclusion       15
1. An Introduction to Data Mining
Discovering hidden value in your data warehouse

1.1 Overview
Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions.
The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems. Data mining tools can answer business questions that traditionally were too time consuming to resolve. They scour databases for hidden patterns, finding predictive information that experts may miss because it lies outside their expectations.
Most companies already collect and refine massive quantities of data. Data mining techniques can be...