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Summary

Summary. „Data mining” Vietnam national university in H anoi , College of technology , Feb.2006. Main topics:. Definition, principles and functionalities of data mining systems Data mining role in KDD processes Data preprocessing and data cleaning methods Association rules

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Summary

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  1. Summary „Data mining” Vietnam national university inHanoi, 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

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