SEARCHING AND INDEXING DISTORTED DATA COLLECTIONS
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86091970" target="_blank" >RIV/61989100:27240/14:86091970 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/14:86091970
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
SEARCHING AND INDEXING DISTORTED DATA COLLECTIONS
Original language description
Success of many models and artificial intelligence methods strongly depends on ability to quickly and precisely search input data collection. Despite the existence of many algorithms for faster earching, the most of them fail while processing distorted input. Unfortunately, the distortion is natural for many types of data collections, especially for measurements of natural phenomena such as recipitations, river discharge volume etc. In this type of collections, there are no exact levels for generated values. This paper discusses possibilities of indexing and searching such distorted inputs and also proposes an alternative approach for their indexing. The proposed approach utilizes the Voting Experts algorithm for splitting the input regarding statistical indicators, the Dynamic Time Warping for dealing with distorted inaccuracies and hierarchical clustering for grouping similar sequences. Finally, the sample result of proposed algorithm applied on data collections consisting of measured river discharge volumes is shown.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
26th European Modeling and Simulation Symposium, EMSS 2014
ISBN
978-88-97999-32-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
301 - 306
Publisher name
Dime University of Genoa
Place of publication
Genova
Event location
Bordeaux
Event date
Sep 10, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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