An impact ordering approach for indexing fuzzy set

Barranco, C.D. and Helmer, Sven (2012) An impact ordering approach for indexing fuzzy set. Fuzzy Sets and Systems 196 , pp. 33-46. ISSN 0165-0114.

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Official URL: http://dx.doi.org/10.1016/j.fss.2011.01.014

Abstract

We propose an approach for indexing fuzzy data based on inverted files that speeds up retrieval considerably by stopping the traversal of postings lists early. This is possible because the entries in the postings lists are organized in a way that guarantees that there are no matching items beyond a certain point in a list. Consequently, we can reduce the number of false positives significantly, leading to an increase in retrieval performance. We have implemented our approach and evaluated it experimentally, including a test on skewed and real-world data, comparing it to an approach that has previously been shown to be superior to other methods.

Metadata

Item Type:	Article
Keyword(s) / Subject(s):	fuzzy databases, access methods, inverted files, physical design
School:	Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
Depositing User:	Sarah Hall
Date Deposited:	24 May 2013 07:56
Last Modified:	09 Aug 2023 12:33
URI:	https://eprints.bbk.ac.uk/id/eprint/6993

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