Intelligent Information Processing Based On Data Mining Technology

During the process of global network and information change, information overage becomes the problem that everyone has to deal with, which make the new request to information treatment. Information treatment technology extends and expands from enquiry, statistics, analysis methodology to data mining technology.Date mining is the process of getting dormant, unknown but latent useful information from the abundant, incomplete, noise , fuzzy and stochastic data. The data mining is the most popular and latest technology in the current international artificial intelligence and database research field, The aim is to meet the consumer's requirement and manage vast original data automatically, identify the important and meaningful model from it and express it as a knowledge.This article first expatiates the basic concept and managing method of the data mining, discuss the Apriori arithmetic and its improved correlated arithmetic of the association rules; Beyesian network sorting method and determinant tree classification arithmetic ,clustering method and Web mining. Then using the database of National Computer Rank Exam, network log and super market as the data resource, based on data fill default arithmetic of Bayesian network, Apriori parallel arithmetic of association rules, determinant tree induction of classification rules and K-cluster arithmetic of clustering algorithm, focus on the improvement of the above arithmetic and Intelligent Information Processing on the above data resources. succeed in resolving the problem of single function of query and statistic in information processing and the malpractice of distill data of latent useful information.