DATA MINING IN PRACTICE: SOLUTIONS AND REQUIREMENTS

Davide Roverso

DATA MINING IN PRACTICE: SOLUTIONS AND REQUIREMENTS

What is Data Mining ?

What Data Mining is not ...

Why Data Mining Has a Market Now?

Data Mining Application Areas

Example

Today’s DM (?) vendors & projects

What is Data Mining ?

What is Data Mining ?

Verification Discovery

Data Mining: Clustering/Segmentation

Example

Example

Data Mining: Association Rules

Example

Data Mining: Classifiers/Decision Rules

Example

Example

Data Mining: Patterns in Time Series

Example

The Data Mining Process

1. Define Business Objectives

2. Integrate, Select & Pre-process Data

2. Integrate, Select & Pre-process Data (cntd.)

2. Integrate, Select & Pre-process Data (cntd.)

2. Integrate, Select & Pre-process Data (cntd.)

3. Select Data Mining Tool(s)

4. Knowledge Discovery

5. Interpret Results

6. Integrate Solutions

Example

Enabling Technologies

Example

Examples

Example

Example

Prerequisites for Success

Trends

Future Developments

Questions ?

PP Presentation