Fractal Based Data Separation in Data Mining
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F13%3A00389175" target="_blank" >RIV/67985807:_____/13:00389175 - isvavai.cz</a>
Result on the web
<a href="http://sdiwc.net/digital-library/fractal-based-data-separation-in-data-mining" target="_blank" >http://sdiwc.net/digital-library/fractal-based-data-separation-in-data-mining</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Fractal Based Data Separation in Data Mining
Original language description
The separation of the searched data from the rest is an important task in data mining. Three separation/classification methods are presented. Considering data as points in a metric space, the methods are based on transformed distances of neighbors of a given point in a multidimensional space via a function that uses an estimate of scaling exponent. We shortly describe them and show that transformation function has form of the distance to the scaling exponent power. We also show the efficiency of methodspresented on artificial as well as on real-life tasks and compare them with other standard as well as advanced approaches.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LG12020" target="_blank" >LG12020: Advanced statistical analysis and non-statistical separation techniques for physical processing detection in data sets sampled by means of elementary particle accelerators.</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the The Third International Conference on Digital Information Processing and Communications
ISBN
978-0-9853483-3-5
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
287-295
Publisher name
SDIWC
Place of publication
Hong Kong
Event location
Dubai
Event date
Jan 30, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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