Incremental mining of frequent XML query patterns

被引：7

作者：

Chen, Y ^{[1
]}

Yang, LH ^{[1
]}

Wang, YG ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Software, Beijing 100864, Peoples R China

来源：

FOURTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS | 2004年

关键词：

D O I：

10.1109/ICDM.2004.10025

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recently, the discovering of frequent XML query patterns gains its focus due to its many applications in XML data management, and several algorithms have been proposed to discover frequent query patterns using the frequent structure mining techniques. In this paper we consider the problem of incremental mining of frequent XML query patterns. We propose a novel method to minimize the I/O and computation requirements for handling incremental updates.

引用

页码：343 / 346

页数：4

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