data mining
by Παύλος Καλογιαννίδης
1. Procedure
1.1. Problem Definition
1.2. Data Preparation
1.3. Data Exploration
1.4. Modeling
1.5. Evaluation
1.6. Deployment
2. models
2.1. ANNs
2.2. Decision Trees
3. algorithms
4. techniques
4.1. classification
4.2. clustering
4.3. regression
