Title :
Frequent Query Patterns Guided XML Caching and Materialization
Author_Institution :
Guangdong Province Key Lab. of Electron. Commerce Market Applic. Technol., Guangdong Univ. of Bus. Studies, Guangzhou
Abstract :
Query caching and view materialization are two possible approaches to improve the performance of XML management systems. Mining frequent query pattern is a technique to discover the most frequently occurring query pattern trees from a large collection of XML queries. In this paper, we describe an efficient mining algorithm to discover the frequent query pattern trees from a large collection of XML queries. And then we examine how the frequent query patterns can be used to guide the view materialization and cache replacement.
Keywords :
XML; data mining; query processing; XML caching; XML management systems; frequent query pattern mining; query caching; query pattern trees; view materialization; Books; Electronic commerce; Engines; Middleware; Pattern matching; System performance; Technology management; Tree graphs; Web server; XML;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
DOI :
10.1109/WICOM.2007.908
