Title :
Mining method research with association rule based on improved genetic algorithm
Author_Institution :
Comput. & Commun. Eng. Sch., Weifang Univ., Weifang, China
Abstract :
While outlining data mining with association rules and genetic algorithms, this paper proposed an association rules extraction algorithm based on modified genetic algorithm, and from struction of encoding method, fitness function and from design of genetic operators to discuss and analyze this algorithm. Finally, a simple application of data examples illustrates the effectiveness of this method.
Keywords :
data mining; genetic algorithms; mathematical operators; association rule extraction algorithm; data mining; encoding method; fitness function; genetic algorithm; genetic operator; Economics; Industries; Lead; Silicon; association rules; data mining; genetic algorithm;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
DOI :
10.1109/ICCSNT.2011.6182467