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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F09%3A00157835%21RIV10-AV0-21230___
rdf:type
n10:Vysledek skos:Concept
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 3 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 3 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/68407700:21230/09:00157835!RIV10-AV0-21230___
n4:aktivita
n14:P
n4:aktivity
P(1ET101210513)
n4:dodaniDat
n6:2010
n4:domaciTvurceVysledku
n17:5112605 n17:9942904
n4:druhVysledku
n11:D
n4:duvernostUdaju
n20:S
n4:entitaPredkladatele
n18:predkladatel
n4:idSjednocenehoVysledku
348999
n4:idVysledku
RIV/68407700:21230/09:00157835
n4:jazykVysledku
n8:eng
n4:klicovaSlova
time series; radviz; visualization data
n4:klicoveSlovo
n15:radviz n15:visualization%20data n15:time%20series
n4:kontrolniKodProRIV
[4D27693A47F5]
n4:mistoKonaniAkce
Prague
n4:mistoVydani
Heidelberg
n4:nazevZdroje
Foundations of Intelligent Systems 2009
n4:obor
n12:JC
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:projekt
n16:1ET101210513
n4:rokUplatneniVysledku
n6:2009
n4:tvurceVysledku
Štěpánková, Olga Nováková, Lenka
n4:typAkce
n19:EUR
n4:wos
000270570200007
n4:zahajeniAkce
2009-09-14+02:00
s:issn
0302-9743
s:numberOfPages
10
n21:hasPublisher
Springer-Verlag
n9:isbn
978-3-642-04124-2
n7:organizacniJednotka
21230