The Research & Application Of Data Mining Base On Genetic Algorithms

The development of huge databases and cooperation among data warehouses has led to a number of new challenges for the database research community. One of these challenges is to enable users to get the maximum benefit from the data they stored. Data mining and knowledge discovery in databases(KDD) is an international frontier and has already become a hotspot hi R&D field.Firstly, this paper comments data mining, explains what is data mining., why and how to do it, clarifies the relation among data mining, machine learning, statistics, DBMS and etc, the main process of data rnining, classification and so on. Secondly, an important method梘enetic algorithms (GA) in data mining is introduced, and the origin, development, main theory, parallelism and extensive application of GA are briefly discribed.In order to understand GA preferably, this paper introduce the Evolutionary Algorithms (EA) which is closely related with GA. The Evolutionary Algorithms was brought forward for improving communication of different EA at the begining of 90'. It has become a new hotspot in "intelligence" and "optimization" research fields. This paper introduce not only the relations between EA and other science but also the research and prospect of EA, hi order to preferably understand the states, the direction hi future and the effect of EA.On this basis, this paper brings forward the algorithms based on the genetic algorithms of association rules, discusses and analyses the genetic algorithms hi detail from coding method, fitness function, crossover operators, selection operators, mutation operators and other aspects. Associated with the Student Evaluation System, this paper gives the algorithms and program of mining association rule based on genetic algorithms.Lastly, this paper points out challenges of data mining, summarizes the work of this paper and the work hi the future.