Summary

1
Summary

• Data mining
• Vietnam national university in Hanoi, College of
  technology, Feb.2006

2
Main topics

• Definition, principles and functionalities of
  data mining systems
• Data mining role in KDD processes
• Data preprocessing and data cleaning methods
• Association rules
• Classification methods
• Clustering methods

3
Data preprocessing and data cleaning

• Discretization methods
• Data reduction methods
• Missing values
• Outlier elimination

4
Association rules

• Definition, possible applications
• Apriori search for frequent patterns and
  association rules
• Modifications of apriori algorithms hash tree,
  Apriori-Tid, Apriori-Hybrid
• FP-tree method

5
Classification methods

• Instance-based classification techniques
• Bayesian classifiers
• Decision tree methods
• Decision rules methods
• Classifier evaluation techniques

6
Clustering methods

• K-means and K-medoids algorithms
• Hierarchical clustering
• Density clustering