Visualization of trends using RadViz

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00183567" target="_blank" >RIV/68407700:21230/11:00183567 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.springerlink.com/content/ap5204j22826l556/fulltext.pdf" target="_blank" >http://www.springerlink.com/content/ap5204j22826l556/fulltext.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10844-011-0157-4" target="_blank" >10.1007/s10844-011-0157-4</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Visualization of trends using RadViz

Popis výsledku v původním jazyce

Data mining is sometimes treating data consisting of items representing measurements of a single property taken in different time points. In this case data can be understood as a time series of one feature. It is no exception when the clue for evaluationof such data is related to their development trends as observed in several successive time points. From the qualitative point of view one can distinguish three basic types of behaviour between two neighbouring time points: the value of the feature is stable (remains the same), it grows or it falls. This paper is concerned with identification of typical qualitative development patterns as they appear in the windows of given length in the considered time-stamped data and their utilization for specification of interesting subgroups.

Název v anglickém jazyce

Visualization of trends using RadViz

Popis výsledku anglicky

Data mining is sometimes treating data consisting of items representing measurements of a single property taken in different time points. In this case data can be understood as a time series of one feature. It is no exception when the clue for evaluationof such data is related to their development trends as observed in several successive time points. From the qualitative point of view one can distinguish three basic types of behaviour between two neighbouring time points: the value of the feature is stable (remains the same), it grows or it falls. This paper is concerned with identification of typical qualitative development patterns as they appear in the windows of given length in the considered time-stamped data and their utilization for specification of interesting subgroups.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/1ET101210513" target="_blank" >1ET101210513: Relační strojové učení pro průzkum biomedicínských dat</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název periodika

Journal of Intelligent Information Systems

ISSN

0925-9902

e-ISSN

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Svazek periodika

37

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

15

Strana od-do

355-369

Kód UT WoS článku

000299002800005

EID výsledku v databázi Scopus

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