Deterministic data sampling based on neighborhood analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86096549" target="_blank" >RIV/61989100:27240/14:86096549 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-07776-5_6" target="_blank" >http://dx.doi.org/10.1007/978-3-319-07776-5_6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-07776-5_6" target="_blank" >10.1007/978-3-319-07776-5_6</a>
Alternative languages
Result language
angličtina
Original language name
Deterministic data sampling based on neighborhood analysis
Original language description
The amount of large-scale real data around us is increasing in size very quickly, as is the necessity to reduce its size by obtaining a representative sample. Such sample allows us to use a great variety of analytical methods, the direct application of which on original data would be unfeasible. There are many methods used for different purposes and with different results. In this paper, we outline a simple, flexible and straightforward approach based on analyzing the nearest neighbors that is generallyapplicable. This feature is illustrated in experiments with synthetic and real-world datasets. The properties of the representative sample show that the presented approach maintains very well internal data structures (e.g. clusters and density). The keytechnical parameters of the approach are low complexity and high scalability. (C) Springer International Publishing Switzerland 2014.
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
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Continuities
S - Specificky vyzkum na vysokych skolach
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
Advances in Intelligent Systems and Computing. Volume 297
ISBN
978-3-319-07775-8
ISSN
2194-5357
e-ISSN
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Number of pages
10
Pages from-to
47-56
Publisher name
Springer
Place of publication
Heidelberg
Event location
Shenzhen
Event date
Jun 13, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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