Meta-queries - computation and evaluation

Rachel Ben-Eliyahu-Zohary, Ehud Gudes

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Metaquery (also known as metapattern) is a datamining tool useful for learning rules involving more than one relation in the database. A metaquery is a template, or a second-order proposition in a language that describes the type of pattern to be discovered. In an earlier paper we discussed the efficient computation of support for Meta-queries. In this paper we extend this work by comparing several support computation techniques. We also give real-life examples of meaningful rules which were derived by our method, and discuss briefly the software environment in which the meta-queries were run (the FLEXIMINE system). Finally we compare Meta-queries to Association rules and discuss their differences.

Original languageEnglish
Title of host publicationData Warehousing and Knowledge Discovery - 2nd International Conference, DaWaK 2000, Proceedings
EditorsYahiko Kambayashi, Mukesh Mohania, A. Min Tjoa
PublisherSpringer Verlag
Pages265-275
Number of pages11
ISBN (Print)3540679804, 9783540679806
DOIs
StatePublished - 1 Jan 2000
Event2nd International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2000 - London, United Kingdom
Duration: 4 Sep 20006 Sep 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1874
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2000
Country/TerritoryUnited Kingdom
CityLondon
Period4/09/006/09/00

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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