Research Of Data Mining Based On C/S Model & Application In AEFS

The world is a place of uncertainty in that uncertain information and knowledge is congested everywhere. In response to the rapid development of computer technology and extensive requirements of applications such as scientific research, finance investment, market management and prediction, etc.. Knowledge discovery in database and data mining is becoming a highlighted research topic on account of its important theoretical and practical value. Upon investigating into the research achievements and shortcomings of existing in knowledge discovery in database and data mining, this thesis has developed the research.First we introduced the developing trends of home and abroad regarding knowledge discovery in database and data mining, basic concepts and typical processing. Then we make thorough research into general Rough Set Theory (RST), which was introduced by Professor Zdzislaw Pawlak. We find that the equivalent relation is too restricted to be achieved in the reality. So we advance tolerance rough set theory (TRST) and the concept corresponding to it, for example, tolerance upper approximation, tolerance lower approximation, tolerance relation sets and so on. We also construct the best threshold combination with genetic algorithm. The method improves the equality of the classification and the precision. Finally we find that since knowledge discovery in database mainly makes analysis to data, its process is completely automatic in defect of the interference of the user. But some users hope the data mining process done according to their needs. We know that on-line analysis processing has the virtues of mutual capability and speedy response. So we bring forward the method of on-line analysis mining (OLAM) based on TRST, with which users can take part in the process of the mining and dynamically decide the objects and the task of mining.The main fruits of this paper are:(1) The basic concepts and methods of KDD and RST are studied intensively, and Tolerance relation takes the place of the equivalent relation.(2) The basic concepts of TRST are proposed.II(3)The algorithm of data mining based on TRST is given.(4)The object of data mining based on TRST is built on the data warehouse, and OLAP is joined with data mining based on TRST, which is feasible because data mining based on TRST does not initialize the quantification.(5)The framework of OLAM is proposed, which can improve Atmosphere Environment Forecast System.