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Introduction to Data Mining
Mayank Pathak
Few Definitions:
Data Mining is the non trivial extraction of
implicit,previously unknown and potentially
useful information from the data.
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
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.
Knowledge Discovery Database
Stages of KDD:
1. Selection
2. Preprocessing
3. Transformation
4. Data Mining
5. Interpretation and Evaluation
Data Mining
1.
2.



Verification Model
Discovery Model
Association Rule
Classification Rule
Clustering
Issues and Challenges in Data Mining
1.
2.
3.
4.
5.
Limited Information
Noise or missing data
User Interaction and prior knowledge
Uncertainty
Size, Updates and Irrelevant Fields
Data Mining Application Areas
1.
2.
3.
4.
Business and E-Commerce Data
Scientific and Engineering Data
Health Care Data
Multimedia Documents
Case Study