Separation in Data Mining Based on Fractal Nature of Data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F13%3A00393276" target="_blank" >RIV/67985807:_____/13:00393276 - isvavai.cz</a>

Result on the web

<a href="http://sdiwc.net/digital-library/separation-in-data-mining-based-on-fractal-nature-of-data.html" target="_blank" >http://sdiwc.net/digital-library/separation-in-data-mining-based-on-fractal-nature-of-data.html</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Separation in Data Mining Based on Fractal Nature of Data

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. We use a singularity exponent in classifiers that are based on distances of patterns to a given (classified) pattern. The approximation of so called probability distribution mapping function of the distribution of points from the viewpoint of distances from a given point in the form of a scaling exponent power of a distance is presented together with a way how tostate it. Considering data as points in a metric space, three methods are based on transformed distances of neighbors of a given point in a multidimensional space via functions that use different estimates of scaling exponent. Classifiers ? data separators utilizing knowledge about explored data distribution in a space and suggested expressions of the scaling exponent are presented. Experimental results on both synthetic and real-life data show interesting behavior (classification accura

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2013

Confidentiality

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

Name of the periodical

International Journal of Digital Information and Wireless Communications

ISSN

2225-658X

e-ISSN

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Volume of the periodical

3

Issue of the periodical within the volume

1

Country of publishing house

HK - HONG KONG

Number of pages

17

Pages from-to

44-60

UT code for WoS article

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EID of the result in the Scopus database

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