Data mining

Data mining

1. What is it?

   • Filtering
   • Competetive edge
   • Meaningful patterns

2. Most popular tools

   • AI
   • As human brain works
     • intelligent guesses
     • learning by example
     • deductive reasoning
   • Other

3. Neural networks

   • Rules of using data
     • Connections found
     • Sample set data
   • Continually analysis

4. Clustering

   • Dividing
   • Insurance company

5. Decision trees

   • Separate the data into subsets
   • Final - inter. patterns and relationships

6. Cleansing, storing

   • Cleansing
   • Storing
   • Storage methods

7. Analysing report

   • generating report
   • Futhre work
     • Refining parameters
     • Using other DA tools
     • Scrapping
   • Proceeds to DM

8. Using data mining

   • analysing Supreme Court decisions
   • discovering patterns in health care
   • pulling stories about competitors from newswires
   • resolving bottlenecks in production processes
   • analysing sequences in the human genetic makeup