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- W2355482431 abstract "The theory of genetic algorithms was established by Professor J. Holland of the University of Michigan who was inspired by biological gene mechanism. The theory of genetic algorithms which takes advantage of group adaptive search method has received broad attention and is widely used in scientific research. Meanwhile, data mining is also widely used to obtain information and knowledge from volume data. With a simple group search strategy and a genetic operator, genetic algorithms can realize distributed searching and information gathering function from a whole data space. Therefore, the theory of genetic algorithms is widely used in the field of data mining. In this paper, the applications of the genetic evolution were discussed on the classification rules mining and the association rules mining. Besides, the origin, basic principles and features of the genetic algorithm were reviewed. The development of data mining and its applications were also discussed. Finally, the prospects and challenges of the application of the genetic algorithms on data mining were forecasted." @default.
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- W2355482431 date "2008-01-01" @default.
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- W2355482431 title "The Theory of Genetic Algorithms and Its Applications on Data Mining" @default.
- W2355482431 hasPublicationYear "2008" @default.
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