Based On The Data Warehouse, Data Mining Method Applied Research In The Economic System

With the development of modern information technology and computer technology, the scope, depth of data base is to become larger. Many enterprises and scientific organizations especially economy system (retail trade, securities business etc.) accumulated a great deal data a few years ago. At present, people are faced with proliferate data which provide favorable conditions for establishes of data warehouse. At present, Data Base Management System can succeed in realizing record modification and query. With the rapid increase of data,,query and stat can't meet practical need and find relation of data so that: knowledge is lacked. At present, a new-effective measure is needed to analyze data. Data mining become developing in order to meet needs.The keystone of the paper is to discuss data mining methods and application in-economy system(such as retail trade securities business ). Two methods(association rule, decision tree) are mentioned. Firstly, data is get together and database is established. Secondly, useful data is extracted from database. Finally, extracted data is analyzed to get some well-regulated knowledge.My job can be seen most from the following:Firstly, the paper analyze the overseas actuality of data mining and summarize application in internet/web etc. the paper account for the national situation where there are no many industries use data mining to analyze data..Secondly, the paper introduces data mining: definition, course; association rule and decision tree are discussed mostly.Thirdly, the paper designs a integrate condition for data mining-data warehouse for securities business and introduces data warehouse system: information origin function, model and technology, which is one of features in the paper.Fourthly, explains the process of data mining and apply the methods into securities business. Quantity association rule and apirori are used to analyze the relation of share price and markup. An excellent rule is put forward.Lastly, the paper combines CRM with DM and provides some suggestions forretail trade. Decision tree are used to plot customers out.