The document summarizes a seminar on data mining and information retrieval. It discusses how much data exists, defines data mining, and provides examples of data mining techniques like association rules, classification, clustering, and statistical analysis. It concludes that data mining and information retrieval have made decision making easier and raised market status, but the enormous growth of information requires more effective retrieval methods.

1. Seminar On-
Data Mining And Information
Retriveal
By-
Ketan Shete

2. DATA!
How much Data ?

3. Statics:-

5. What is Data Mining??

6. Example

7. Information Retrieval

9. Different Ways For Information
RETERIVAL
1. Association rules:-

10. Classification & Clustering
• Classification-
Structured
Supervised Learning
Train Data Available

11. Clustering
 Unstructured
 Unsupervised Learning
 No train Data Available

12. Statistical Analysis

13. Conclusion-
• Decision making is becoming very easy.
• Data mining And its Information retrieval have
raised the market status at much higher rates.
• The information besides us is growing
enormously and the methods of retrieving are
becoming ineffective.