Towards an Algebraic Framework for Querying Inductive Databases

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Liu, Hong-Cheu, Ghose, Aditya and Zeleznikow, John ORCID: 0000-0002-8786-2644 (2010) Towards an Algebraic Framework for Querying Inductive Databases. In: Database Systems for Advanced Applications : 15th International Conference, DASFAA 2010, Tsukuba, Japan, April 1-4, 2010, Proceedings, Part II. Kitagawa, Hiroyuki, Ishikawa, Yoshiharu, Li, Qing and Watanabe, Chiemi, eds. Lecture notes in computer science (5982). Springer, Berlin, pp. 306-312.

Abstract

In this paper, we present a theoretical foundation for querying inductive databases, which can accommodate disparate mining tasks. We present a data mining algebra including some essential operations for manipulating data and patterns and illustrate the use of a fix-point operator in a logic-based mining language. We show that the mining algebra has equivalent expressive power as the logic-based paradigm with a fix-point operator.

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Item type Book Section
URI https://vuir.vu.edu.au/id/eprint/7170
DOI 10.1007/978-3-642-12098-5_24
Official URL http://link.springer.com/content/pdf/10.1007%2F978...
ISBN 9783642120978 (print), 9783642120985 (online)
Subjects Historical > FOR Classification > 0802 Computation Theory and Mathematics
Historical > FOR Classification > 0807 Library and Information Studies
Historical > Faculty/School/Research Centre/Department > School of Management and Information Systems
Historical > SEO Classification > 970101 Expanding Knowledge in the Mathematical Sciences
Keywords ResPubID21660, ResPubID20893, inductive databases, inductive querying, mining algebra, logic-based paradigm
Citations in Scopus 4 - View on Scopus
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