The Research On Data Mining Application In Foreign Trade Business Analysis Decision-Making System

Currently the quantity of data in companies reaches TB bytes. Excessive data is known as information exploding . The quantity of data is so large that people can't use it easily although it is likely that much valuable information is hiding in it. Then how can we find the potential useful knowledge and make use of it in our decision - making ? The resolving method to the problem that computer science gives is Data Mining . In this paper we analysis data warehouse which is the important environment of Data Mining and OLAP technology .We also dissertate the concept , arithmetic , technique and the process of Data Mining .Then we build a system framework for our decision-making system. In the same time we build a special data mining warehouse for data mining by using the data from the warehouse which we build for OLAP and the data from the website :http://www.stats.gov.cn.Then we build many data mining models so that we can provide support with the decision-making for Beijing Foreign Trade Ministry.In the paper we also give some resolutions on the problems that we meet during the process of data mining in the system .In order to make use of the mining models that we got and fast update the models we put forward two arithmetic to fast update association rule model and prediction model .