The Application Of Genetic Algorithms In Association Rule Mining

Data Mining is discovers from the large-scale database or the data warehouse and withdraws hides in the information one kind of new technology. It can the automated analysis data and carries on the induction inference, excavates the latent pattern or has the association, establishes the new service model to help the policy-maker to adjust the market strategy to make the correct decision-making.Genetic Algorithm is simulates the nature organic evolution process and mechanism solution question one kind from the organization and the auto-adapted artificial intelligence technology, Is new computational method which the natural genetics and the computer unify mutually, seep mutually form, from some kind of degree said that the genetic algorithm is mathematics way simulation which carries on to the organic evolution process. already widely applied in the computer science, the artificial intelligence, the information technology and the project practice.This paper firstly outlines a data mining, clarifies its definition, purpose, mission objects, methods, main process. Secondly it introduced definition, nature, type and etc. for the associated rules. Moreover it introduced an important algorithm in data mining - Genetic Algorithm. This paper had briefing on Genetic Algorithm's history, main theory, basic implementation technologies.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 fields of education.