Research And Application Of Association Rules Algorithms In Data Mining

In recent years,many people in information industry attach more importance tothe data mining technique,Which is attributed to the necessary consequence of theconflicting movement between the rapid-increasing data and the poor informationday by day. Studying the data mining technique systematically,deeply,roundly anddetailed is an objective requirement for exchanging information in the global. Thisdissertation systematically,deeply,roundly and detailed studies and analyses the datamining technique,especially the one for association rules. The main contents arelisted as follows:Analyse and research of the data mining technique. the dissertationsummarizes,analyses and studies the current status of the data mining technique inour native country and overseas widely and roundly and then summarizes anddiscusses its developmental trends and hot research fields. The definiens andorientation of the data mining is reviewed in brief first. Based on the basic conceptsof data mining,this dissertation classifies and summarizes the objects of data miningand the common techniques in detail.In succession,All of the above become thebasis for this dissertation.Analyse and research of the data mining technique for association rules .Basedon the basic concepts of the association rules,analyses and studies the Apriorialgorithms of association rules in detail. All kinds of optimized techniques which aredesigned to promote the algorithms efficiency are also studied and discussed in detailhere. Based on the basic, the Aprior algorithm of riddling compression is proposed.And has carried on the simulation, the result demonstrated the Aprior algorithm ofriddling compression can improve the efficiency greatly.