@inproceedings{af66abce2d714e509f79cf59047e4d49,
title = "Meta-queries - computation and evaluation",
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.",
author = "Rachel Ben-Eliyahu-Zohary and Ehud Gudes",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2000.; 2nd International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2000 ; Conference date: 04-09-2000 Through 06-09-2000",
year = "2000",
month = jan,
day = "1",
doi = "10.1007/3-540-44466-1\_26",
language = "English",
isbn = "3540679804",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "265--275",
editor = "Yahiko Kambayashi and Mukesh Mohania and Tjoa, \{A. Min\}",
booktitle = "Data Warehousing and Knowledge Discovery - 2nd International Conference, DaWaK 2000, Proceedings",
address = "Germany",
}