Summary
„Data mining”
Vietnam national university in Hanoi,
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
Data preprocessing and data
cleaning
Discretization methods Data reduction methods Missing values
Association rules
Definition, possible applications
Apriori search for frequent patterns
and association rules
Modifications of apriori algorithms:
hash tree, Apriori-Tid, Apriori-Hybrid
Classification methods
Instance-based classification
techniques
Bayesian classifiers
Decision tree methods Decision rules methods
Clustering methods
K-means and K-medoids algorithms Hierarchical clustering
