Approximate Search in Dissimilarity Spaces using GA

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10407738" target="_blank" >RIV/00216208:11320/19:10407738 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21240/19:00333570

Result on the web

<a href="http://dx.doi.org/10.1145/3319619.3321907" target="_blank" >http://dx.doi.org/10.1145/3319619.3321907</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3319619.3321907" target="_blank" >10.1145/3319619.3321907</a>

Result language

angličtina

Original language name

Approximate Search in Dissimilarity Spaces using GA

Original language description

Nowadays, the metric space properties limit the methods of indexing for content-based similarity search. The target of this paper is a data-driven transformation of a semimetric model to a metric one while keeping the data indexability high. We have proposed a genetic algorithm for evolutionary design of semimetric-to-metric modifiers. The precision of our algorithm is near the specified error threshold and indexability is still good. The paper contribution is a proof of concept showing that genetic algorithms can effectively design semimetric modifiers applicable in similarity search engines.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA19-01641S" target="_blank" >GA19-01641S: Contextual Similarity Search in Open Data</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

GECCO &apos;19: Proceedings of the Genetic and Evolutionary Computation Conference Companion

ISBN

978-1-4503-6748-6

ISSN

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e-ISSN

—

Number of pages

2

Pages from-to

279-280

Publisher name

ACM

Place of publication

New York

Event location

Prague

Event date

Jul 13, 2019

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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