1. CIS 430 Data Mining and Knowledge Discovery Dr. Iren Valova
What’s it all about???

2. What is Data Mining?
extracting relevant information from large sets of data
a predictive and proactive approach to data
necessary for understanding the information that is actually in large sets of data

3. Data Mining is not: data warehousing data visualization
software agents
SQL queries / reporting
on-line analytical processing (OLAP)

4. In Plain English Now...
All that aside, Data Mining, or Knowledge Discovery in Databases, is really extracting some useful knowledge out of a large store of data for the purpose of making more informed decisions or even for prediction.
Lots of useless Data can be turned into useful knowledge, which makes cats happy.

5. In Plain English Now...
This is achieved by finding the driving forces behind the data.
Given a set of rules and associations, the data can be used to make inferences about the causes behind the data with a variable level of certainty.

6. Some Uses for Data Mining...
Turnover Management
Claims Processing
Credit Risk Analysis
Electronic Commerce
Food-Service Menu analysis
Fraud Detection
Government Policy Setting
Hiring Profiles
Medical Management
Pharmaceutical Research
Process Control
Quality Control
Student Recruiting
Web Caching
Warranty Analysis
Anything you choose to use it for