The Application & Research Of Association Rule Data Mining Based On Genetic Algorithms

In the last decades, the database technologies and magnanimity memory technologies have developed much. At information age, oriented to a great deal of data, how to utilize the huge original data to analysis the current situation and predict the future effectively, have already become a great challenge that the mankind has faced. Therefore the data mining technology is arised at the historic moment and can be developed rapidly. Recently, data mining has been one of hot research area. The knowledge discovered by data mining technologies can be used to offer decision support.Association rule is one of the important models of data mining, and has the most significant application value. According to the requirement and the character of association rule mining, combine the idea of genetic algorithm, a mining method of association rules is proposed based on genetic algorithm. According to the analysis of example, it is a practical algorithm. The following themes are addressed in this paper:Deeply analyzing and studying data mining technology and association rule. In this paper, we have a systematic research into the measure standard for association rules. Studied the limitation in model based on support and confidence measure, the deviation-based interest is given in this dissertation, which is used to prune the no-interest rules in order to discover the real interest rules mode.Analyzing an important method?agenetic algorithms in data mining. On this basis, this paper brings forward a mining method of association rules based on Genetic Algorithm, discusses and analyses the genetic algorithms in detail from coding method, fitness function, crossover operators, selection operators, mutation operators and other aspects.Associated with the Teacher Evaluation System, this paper gives the algorithms and program of mining association rule based on genetic algorithms and application in the fileds of education.