The Research Of Data Mining Technology And Application In Archival Automatization Management System

Data Mining is a process by which we can discover knowledge from much data, as a technology, it has been applied in many areas, but it is strange in archive. Archive is a kind of information record that comes from all sorts of people activities. A great deal of data has been produced in recently 10 years for Archive's automatization administration, but the data has made a lot of loss of people, money and matter for they can't be used fully. In allusion to this instance, we must open out the relationship of the Archive and user, the Archive and all kinds of activities , between the archives by application data mining technology, which will exert the archive data information affection. This article canvass the status quo of the archive's automatization administration and the develop status of data mining, and discusses how to combine the data mining technology with the archive work from data cleaning means, data mining arithmetic, and data storage etc. And this article put forword a data mining system design idea.This article's structure is : first, in allusion to the archive data status quo, the pretreatment work of archive data that include data quality evaluation, data cleaning and data commut-ation process is bringed forword; second, in the process of realizating data mining , the article discusses conception description, association rule, class three familiar means of applicating data mining, also put inforword the concrete arithmetic and the program design chart, and discusses the range and the foreground of all kinds of arithmetic when they are applicated in the archive; third, the base of so you say, this article also discusses the importance of the archice applicate data storage and the means of realizing it; last, the article discusses seval important problem of realizing an archive data mining system from data, diversity, arithmetic multiformity, mining result variety and the data pretreatment visibility, mining object descriptive visibility, mining process visibility, mining result visibility, user demand description and problem defining etc aspect.The article's core is how to import data mining technology in the archive work.