1. Introduction to Data Mining
Mayank Pathak

2. Few Definitions:
Data Mining is the non trivial extraction of implicit,previously unknown and potentially
useful information from the data.

3. Definitions (cont..)
Data Mining is the search for the relationships and global patterns that exist in large databases but are hidden among vast amount of data

4. Definitions (cont..)
Data Mining refers to using a variety of techniques to indentify nuggets of information or decision making knowledge & extracting these to make prediction, forecasting and estimation.

5. Knowledge Discovery Database
Stages of KDD:
Selection
Preprocessing
Transformation
Data Mining
Interpretation and Evaluation

6. Data Mining Verification Model Discovery Model Association Rule
Classification Rule
Clustering

7. Issues and Challenges in Data Mining
Limited Information
Noise or missing data
User Interaction and prior knowledge
Uncertainty
Size, Updates and Irrelevant Fields

8. Data Mining Application Areas
Business and E-Commerce Data
Scientific and Engineering Data
Health Care Data
Multimedia Documents

9. Case Study