Data Mining Process

Attachments:

• Data Mining Tasks

1. Data Pre-processing - Cleaning up the data
2. EDA - Investigate the data with visualisation (To decided what to do in the KDD)
3. Data Selection - Selecting what you want to mine
4. KDD - The mining part
5. Output - The results of the mining

1. 1. identifying the problem
2. 2. analysing the data
3. 3, Taking action
4. 4. Measuring the outcome
5. VERY SIMPLE

1. Sample - Data Picking
2. Explore - EDA
3. Modify - Data Pre-processing
4. Model - KDD - Regression, Classification and neural networks
5. Assess - Graphs and Reports. Is the output useful?
6. FOCUS ON THE PROCESS OF DM

1. Includes the business objectives
   1. How the data is deployed into the business