DocumentCode :
3501499
Title :
Application of Genetic Algorithm in Data Mining
Author :
Jun-shan, Tan ; Wei, He ; Yan, Qing
Author_Institution :
Coll. of Comput. Sci., Central South Univ. of Forestry & Technol., Changsha
Volume :
2
fYear :
2009
fDate :
7-8 March 2009
Firstpage :
353
Lastpage :
356
Abstract :
In this paper, the concept of data mining was summarized, and its significance that contributes to commerce was illustrated as well. Based on the characteristic, an important genetic algorithm which is widely used in data mining technology was proposed, whose principle and status were also expatiated. On the other hand, a best employee group of data mining algorithm based on genetic algorithm combining information management system for enterprise employees was proposed, the processes and steps which may solve problem used genetic algorithm as a example. Furthermore, the problems and challenges that data mining technology has to be faced with were discussed.
Keywords :
data mining; genetic algorithms; data mining; genetic algorithm; information management system; Application software; Business; Computer science; Data engineering; Data mining; Educational institutions; Educational technology; Forestry; Genetic algorithms; Materials science and technology; data mining; genetic algorithm; model; search strategy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
Type :
conf
DOI :
10.1109/ETCS.2009.340
Filename :
4959054
Link To Document :
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