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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F11%3A00183567%21RIV12-MSM-21230___
rdf:type
n15:Vysledek skos:Concept
rdfs:seeAlso
http://www.springerlink.com/content/ap5204j22826l556/fulltext.pdf
dcterms:description
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 evaluation of 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. 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 evaluation of 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.
dcterms:title
Visualization of trends using RadViz Visualization of trends using RadViz
skos:prefLabel
Visualization of trends using RadViz Visualization of trends using RadViz
skos:notation
RIV/68407700:21230/11:00183567!RIV12-MSM-21230___
n15:predkladatel
n16:orjk%3A21230
n3:aktivita
n19:P n19:Z
n3:aktivity
P(1ET101210513), Z(MSM6840770038)
n3:cisloPeriodika
3
n3:dodaniDat
n9:2012
n3:domaciTvurceVysledku
n17:5112605 n17:9942904
n3:druhVysledku
n12:J
n3:duvernostUdaju
n22:S
n3:entitaPredkladatele
n11:predkladatel
n3:idSjednocenehoVysledku
238594
n3:idVysledku
RIV/68407700:21230/11:00183567
n3:jazykVysledku
n14:eng
n3:klicovaSlova
Time series; Data visualization; RadViz
n3:klicoveSlovo
n8:Data%20visualization n8:Time%20series n8:RadViz
n3:kodStatuVydavatele
NL - Nizozemsko
n3:kontrolniKodProRIV
[B7DDD75E0A9D]
n3:nazevZdroje
Journal of Intelligent Information Systems
n3:obor
n13:JC
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n4:1ET101210513
n3:rokUplatneniVysledku
n9:2011
n3:svazekPeriodika
37
n3:tvurceVysledku
Vysloužilová, Lenka Štěpánková, Olga
n3:wos
000299002800005
n3:zamer
n18:MSM6840770038
s:issn
0925-9902
s:numberOfPages
15
n5:doi
10.1007/s10844-011-0157-4
n21:organizacniJednotka
21230