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                                       Details for article 8 of 8 found articles
 
 
  Mining Classification Rules in Multistrategy Learning Approach
 
 
Title: Mining Classification Rules in Multistrategy Learning Approach
Author: Yuanhui, Zhou
Yuchang, Lu
Chunyi, Shi
Appeared in: Intelligent data analysis
Paging: Volume 2 (2013) nr. 3 pages 165-185
Year: 2013-06-14
Contents: Classification, which involves finding rules that partition a given dataset into disjoint groups, is one class of data mining problems. Approaches proposed so far for mining classification rules from databases are mainly decision tree based on symbolic learning methods. In this paper, we combine artificial neural network and genetic algorithm to mine classification rules. Some experiments have demonstrated that our method generates rules of better performance than the decision tree approach and the number of extracted rules is fewer than that of C4.5.
Publisher: IOS Press
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 8 of 8 found articles
 
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