The Application Research Of Data Mining On Earthquake Forecast

In recent years , many people in information industry attach more importance to the data mining technique,Which is attributed to the necessary consequence of the conflicting movement between the rapid-increasing data and the poor information day by day.Studying the data mining technique systematically,deeply,roundly and detailed is an objective requirement for exchanging information in the global.This dissertation systematically,deeply,roundly and detailed studies and analyses the data mining technique,especially the one for association rules. The main contents are listed as follows:Analyse and research of the data mining technique. the dissertation summarizes,analyses and studies the current status of the data mining technique in our native country and overseas widely and roundly research . The definiens and orientation of the data mining is reviewed in brief first. Based on the basic concepts of data mining,this dissertation classifies and summarizes the objects of data mining and the common techniques in detail.In succession,All of the above become the basis for this dissertation. Analyse and research of the data mining technique for association rules. Based on the basic concepts of the association rules,analyses and studies the Apriori algorithms of association rules in detail. All kinds of optimized techniques which are designed to promote the algorithms efficiency are also studied and discussed in detail here. Based on the basic, the Aprior algorithm of riddling compression is proposed and apply to earthquake forecast.And has carried on the simulation ,the result demonstrated the Aprior algorithm of riddling compression can improve the efficiency and accurate rate of earthquake forecast greatly.