Generic Subsequence Matching Framework: Modularity, Flexibility, Efficiency
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00057555" target="_blank" >RIV/00216224:14330/12:00057555 - isvavai.cz</a>
Výsledek na webu
<a href="http://arxiv.org/abs/1206.2510v1" target="_blank" >http://arxiv.org/abs/1206.2510v1</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Generic Subsequence Matching Framework: Modularity, Flexibility, Efficiency
Popis výsledku v původním jazyce
Subsequence matching has appeared to be an ideal approach for solving many problems related to the fields of data mining and similarity retrieval. It has been shown that almost any data class (audio, image, biometrics, signals) is or can be represented by some kind of time series or string of symbols, which can be seen as an input for various subsequence matching approaches. The variety of data types, specific tasks and their partial or full solutions is so wide that the choice, implementation and parametrization of a suitable solution for a given task might be complicated and time-consuming; a possibly fruitful combination of fragments from different research areas may not be obvious nor easy to realize. The leading authors of this field also mentionthe implementation bias that makes difficult a proper comparison of competing approaches.
Název v anglickém jazyce
Generic Subsequence Matching Framework: Modularity, Flexibility, Efficiency
Popis výsledku anglicky
Subsequence matching has appeared to be an ideal approach for solving many problems related to the fields of data mining and similarity retrieval. It has been shown that almost any data class (audio, image, biometrics, signals) is or can be represented by some kind of time series or string of symbols, which can be seen as an input for various subsequence matching approaches. The variety of data types, specific tasks and their partial or full solutions is so wide that the choice, implementation and parametrization of a suitable solution for a given task might be complicated and time-consuming; a possibly fruitful combination of fragments from different research areas may not be obvious nor easy to realize. The leading authors of this field also mentionthe implementation bias that makes difficult a proper comparison of competing approaches.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
IN - Informatika
OECD FORD obor
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Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2012
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů