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

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

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

4. In Plain English Now... ä 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... ä This is achieved by finding the driving forces behind the data. ä 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... ä Turnover Management ä Claims Processing ä Credit Risk Analysis ä Electronic Commerce ä Food-Service Menu analysis ä Fraud Detection ä Government Policy Setting ä Hiring Profiles ä Medical Management ä Pharmaceutical Research ä Process Control ä Quality Control ä Student Recruiting ä Web Caching ä Warranty Analysis ä Anything you choose to use it for