Mining Frequent Quer Patterns from XML Queries

  • Authors:
  • Liang Huai Yang;Mong Li Lee;Wynne Hsu;Sumit Acharya

  • Affiliations:
  • -;-;-;-

  • Venue:
  • DASFAA '03 Proceedings of the Eighth International Conference on Database Systems for Advanced Applications
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

Abstract

As XML prevails over the Internet, the efficient retrievalof XML data becomes important. Research to improvequery response times has been largely concentrated onindexing XML documents and processing regular pathexpressions. Another approach is to discover frequentquery patterns since the answers to these queries can bestored and indexed. Mining frequent query patternsrequires more than simple tree matching since the XMLqueries involves special characters such as "*" or "//".In addition, the matching process can be expensive sincethe search space is exponential to the size of XMLschema. In this paper, we present two mining algorithms,XQPMiner and XQPMinerTID, to discover frequent querypattern trees from a large collection of XML queriesefficiently. Both algorithms exploit schema information toguide the enumeration of candidate subtrees, thuseliminating unnecessary node expansions. Experimentsresults show that the proposed methods are efficient andhave good scalability.