Weigted-FP-Tree Based XML Query Pattern Mining

摘要：

According as XML data have been prevailing in many areas such as internet and public documentation, we need to research data mining algorithm to XML data. And many kinds of techniques have been researched to speed up the query performance about XML data. In this paper, therefore, as the method for speeding up the query performance we analyze the XML query pattern and propose Weighted- FP-growth algorithm extracting the similar XML query pattern fast. The proposed method is applied to XML query subtrees. And we experimented our method compared with the existing algorithm. And we showed the proposed method outperform the other methods and give the fast query result to the repeatedly occurring queries.

关键词： XML XML Query Frequent Pattern XML Mining

作者: Mi Sug Gu Jeong Hee Hwang Keun Ho Ryu

作者单位: Database/BioInformatics Laboratory Chungbuk National University Department of Computer Science Namseoul University

会议类型: 国际会议

会议名称: 6th International Conference on Advanced Data Mining and Applications(第六届先进数据挖掘及应用国际会议 ADMA 2010)

会议地点: 重庆

会议语种:英文

页码: 417-428

在线出版日期: 2010-11-19（万方平台首次上网日期，不代表论文的发表时间）