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Summary
„Data mining”
Vietnam national university in Hanoi,
College of technology, Feb.2006
Main topics:
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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
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Discretization methods
Data reduction methods
Missing values
Outlier elimination
Association rules
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Definition, possible applications
Apriori search for frequent patterns and association
rules
Modifications of apriori algorithms: hash tree,
Apriori-Tid, Apriori-Hybrid
FP-tree method
Classification methods
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Instance-based classification techniques
Bayesian classifiers
Decision tree methods
Decision rules methods
Classifier evaluation techniques
Clustering methods
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K-means and K-medoids algorithms
Hierarchical clustering
Density clustering