Data mining is an interdisciplinary subfield of computer science. It is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use.

1. DATA MINING
A Bird’s Eye View

2. DATA
MINING?

3. DATA MINING
(Diverse Perspectives)
• Analysis of condensed observation of
automatic examining of enormous stores of
data to find patterns and trends.
• Analysis of Knowledge mined from data for
locating relationships that haven't been
previously outlined.

4. *DATA MINING (Cont.)
Data Mining as Knowledge Discovery Process.

5. Need For
DATA
MINING

6. *DATA AGEorINFORMATIONAGE?

7. DATA MINING
FUNCTIONALITIES
• Mining tasks are often classified as either
“Descriptive” or “Predictive”.
Functionalities:-
• Characterization : Characteristic rules
• Discrimination : Discriminant rules
• Association Analysis : Locating Relationship
• Classification : Categorisation

8. *FUNCTIONALITIES (Cont.)
• Prediction : Machine Learning
• Clustering : Organization within a category
• Outlier Analysis : Exceptions or Surprises!

9. DATA MINING
(Dealing with ISSUES)
• Security & Social Issue
• Performance Issue
• Data Supply Issue
• User Interface Issue

10. QUERIES
?