Association Rule Mining Research Based On Rough Set Theory And The Desigh And Implement Of System

Data mining is a rising database technique with the development of database and artificial intelligence in recent years. Its objects it handles are a large amount of the ordinary business data. Association rule is a comparatively important kind of knowledge model belonged to data mining. And it is a kind of simple but useful rule. But the traditional mining algorithms is not is not so efficient, and the user may only be interested in part of association rule. Therefore, improving algorithms has become the hot research. Rough Set theory is a new mathematic theory for dealing with vague, imprecise, incomplete and uncertain data. Attribution reduction is core.From this view, Rough Set has been used to reduce attribution, and delete the useless attribution, extract the rule. On the base of data mining , which come from rough set theory, the author come up with a new method of attribution reduction, that is to say, the inductive algorithms on the base of association rule, it can receive a comparatively better reduction, under the condition of introduce of support degree and confidence degree ,design a kind of algorithms to extract the rule. It can receive the useful of needed rule quickly and can delete some useless or inefficient rule. In this way, it reduces the knowledge largely.Because there is no a comparatively mature Chinese mining system ,which uses rough set method until now, the author make use of the example of the class of the water and soil loss to design a practical management information system on the base of database knowledge and the result is acceptable. It can explore the new space for...