Fuzzy approach to non-metric similarity indexing

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F11%3A10099588" target="_blank" >RIV/00216208:11320/11:10099588 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/1995412.1995435" target="_blank" >http://dx.doi.org/10.1145/1995412.1995435</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/1995412.1995435" target="_blank" >10.1145/1995412.1995435</a>

Result language
angličtina
Original language name
Fuzzy approach to non-metric similarity indexing
Original language description
The task of similarity search becomes more complex when the distance measure is not a metric. In this paper, we investigated the recently proposed fuzzy approach to similarity search in non-metric databases where the triangle inequality might not hold. In summary, we took nine fuzzy T-norms, proposed a tuning algorithm for the fuzzy T-norm operators (Lambda Tuning Algorithm), and applied this approach to the pivot-based search. We present the results focusing on the efficiency and eff ectiveness of thesuggested method.
Czech name
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Czech description
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Project
<a href="/en/project/GAP202%2F11%2F0968" target="_blank" >GAP202/11/0968: Large-scale Nonmetric Similarity Search in Complex Domains</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Fourth International Conference on Similarity Search and Applications 2011
ISBN
978-1-4503-0795-6
ISSN
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e-ISSN
—
Number of pages
2
Pages from-to
115-116
Publisher name
ACM
Place of publication
New York, USA
Event location
Lipari, Italy
Event date
Jun 30, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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