期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2008
卷号：8
期号：5
页码：334-339
出版社：International Journal of Computer Science and Network Security
摘要：In distributed data mining, the mining process is carried out in distributed locations parallel and generates frequent itemsets on the local areas. It is necessary to analyze these local patterns to gain global patterns when putting all the knowledge derived from local distributed location to a single one. Knowledge integration is the problem of combining the mined results obtained from the data residing at different sources, and providing the user with a unified view of these knowledge. Such a unified view is structured according to a so-called global schema, which represents the intentional level of the integrated data. Association rules are used for the mining process and hence local interestingness measure differs from the global interested patterns. Based on this criteria this paper focuses on the knowledge integration scheme from distributed workstations with XML data.
关键词：Mining, Knowledge, parallel & distributed data mining, association rules, XML data
