Research Of Data Mining Technology Based On Genetic Algorithm

Duration recent decades, the technology of data mining has made great progress. Data mining has become the most active branch of the research and development and application of database. Data mining is a process which find information and acknowledge, which is hidden and no one knows but potential, from the data which is vast and incomplete and noised and ambiguous and random. It is a set of methods efficient in analyzing large data sets, however for the inherent uncertainty and complex of data and the attributes, some methods show their inability in some cases. Soft computing is good at dealing with such dilemma, therefore it is valuable to study data mining techniques in the frame of soft computing. In this paper, genetic algorithm is presented to mine of association rules of data mining. The Primary research work of the Paper was as follows: 1. This paper commented data mining,explains the definition of data mining, the objects of data mining, clarifies the relation among data mining and other subject, the main process of data mining,classification, main technology and so on. 2. Based on the basic concepts of the association rules,this dissertation classifies and summarizes its species and value roundly, introduced the spread of the association rules----correlation analysis. 3. An important method----genetic algorithms (GA) in data mining is introduced,and the development,main theory,characteristic and application of an approach are recommended. 4. This paper discussed that application of genetic algorithm to the thinking and sixty-four-dollar question of data mining, on this basis, this paper brought forward a model based on the genetic algorithm of association rules, the mining algorithm of association rules based on the genetic algorithm was given by an example.