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Computational Properties of Metaquerying Problems
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Fabrizio Angiulli,
Rachel Ben-Eliyahu-Zohary,
Giovambattista Ianni, and
Luigi Palopoli
View Paper (PDF)
Return to Data Mining / Information Dependencies
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Abstract
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Metaquerying is a datamining technology by which hidden dependencies among several database relations can be discovered. This tool has already been successfully applied to several real-world applications. Recent papers provide only very preliminary results about the complexity of metaquerying. In this paper we define several variants of metaquerying that encompass, as far as we know, all variants defined in the literature. We study both the combined complexity and the data complexity of these variants. We show that, under the combined complexity measure, metaquerying is generally intractable (unless P=NP), but we are able to single out some tractable interesting metaquerying cases (whose combined complexity is LOGCFL-complete). As for the data complexity of metaquerying, we prove that, in general, this is in P, but lies within AC0 in some interesting cases. Finally, we discuss the issue of equivalence between metaqueries, which is useful for optimization purposes.
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BIBTEX
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@inproceedings{DBLP:conf/pods/AngiulliBIP00,
author = {Fabrizio Angiulli and
Rachel Ben-Eliyahu-Zohary and
Giovambattista Ianni and
Luigi Palopoli},
title = {Computational Properties of Metaquerying Problems},
booktitle = {Proceedings of the Nineteenth ACM SIGMOD-SIGACT-SIGART Symposium
on Principles of Database Systems, May 15-17, 2000, Dallas, Texas,
USA},
publisher = {ACM},
year = {2000},
isbn = {1-58113-214-X},
pages = {237-244},
crossref = {DBLP:conf/pods/00},
bibsource = {DBLP, http://dblp.uni-trier.de} } },
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