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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. (en)
Title
  • Visualization of trends using RadViz
  • Visualization of trends using RadViz (en)
skos:prefLabel
  • Visualization of trends using RadViz
  • Visualization of trends using RadViz (en)
skos:notation
  • RIV/68407700:21230/11:00183567!RIV12-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET101210513), Z(MSM6840770038)
http://linked.open...iv/cisloPeriodika
  • 3
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 238594
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/11:00183567
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Time series; Data visualization; RadViz (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • NL - Nizozemsko
http://linked.open...ontrolniKodProRIV
  • [B7DDD75E0A9D]
http://linked.open...i/riv/nazevZdroje
  • Journal of Intelligent Information Systems
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 37
http://linked.open...iv/tvurceVysledku
  • Vysloužilová, Lenka
  • Štěpánková, Olga
http://linked.open...ain/vavai/riv/wos
  • 000299002800005
http://linked.open...n/vavai/riv/zamer
issn
  • 0925-9902
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/s10844-011-0157-4
http://localhost/t...ganizacniJednotka
  • 21230
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