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Towards an Algebraic Framework for Querying Inductive Databases

Liu, Hong-Cheu and Ghose, Aditya and Zeleznikow, John (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 and Ishikawa, Yoshiharu and Li, Qing and Watanabe, Chiemi, eds. Lecture notes in computer science (5982). Springer, Berlin, pp. 306-312.

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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.

Item Type: Book Section
ISBN: 9783642120978 (print), 9783642120985 (online)
Uncontrolled Keywords: ResPubID21660, ResPubID20893, inductive databases, inductive querying, mining algebra, logic-based paradigm
Subjects: FOR Classification > 0802 Computation Theory and Mathematics
FOR Classification > 0807 Library and Information Studies
Faculty/School/Research Centre/Department > School of Management and Information Systems
SEO Classification > 970101 Expanding Knowledge in the Mathematical Sciences
Depositing User: VUIR
Date Deposited: 21 May 2012 04:27
Last Modified: 22 May 2013 23:12
URI: http://vuir.vu.edu.au/id/eprint/7170
DOI: 10.1007/978-3-642-12098-5_24
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Citations in Scopus: 2 - View on Scopus

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