Download presentation
Presentation is loading. Please wait.
Published byVirginia Burke Modified over 8 years ago
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
Similar presentations
© 2024 SlidePlayer.com. Inc.
All rights reserved.