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Description
  • Není k dispozici (cs)
  • The ECML/PKDD data mining challenge concerns a dataset describing the data collected during a longitudinal study of atherosclerosis prevention on around 1400 middle-aged men (Stulong study). The data challenge entry from the Czech Technical University in Prague focuses on trend analysis in this dataset. Firstly, it proposes and verifies a preprocessing method based on windowing. The suggested approach guarantees that the identified trend aggregates are generated without falling into the trap of introducing anachronistic attributes. Secondly, it applies the windowing method to the Stulong dataset. Finally, it studies influence of these trend aggregates on a possible future development of cardiovascular diseases (CVDs).
  • The ECML/PKDD data mining challenge concerns a dataset describing the data collected during a longitudinal study of atherosclerosis prevention on around 1400 middle-aged men (Stulong study). The data challenge entry from the Czech Technical University in Prague focuses on trend analysis in this dataset. Firstly, it proposes and verifies a preprocessing method based on windowing. The suggested approach guarantees that the identified trend aggregates are generated without falling into the trap of introducing anachronistic attributes. Secondly, it applies the windowing method to the Stulong dataset. Finally, it studies influence of these trend aggregates on a possible future development of cardiovascular diseases (CVDs). (en)
Title
  • Není k dispozici (cs)
  • Trend Analysis in Stulong Data
  • Trend Analysis in Stulong Data (en)
skos:prefLabel
  • Není k dispozici (cs)
  • Trend Analysis in Stulong Data
  • Trend Analysis in Stulong Data (en)
skos:notation
  • RIV/68407700:21230/04:03099722!RIV/2005/MSM/212305/N
http://linked.open.../vavai/riv/strany
  • 56 ; 67
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 210000012)
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
  • 590760
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/04:03099722
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Trend analysis; atherosclerosis; data mining; sequential patterns; windowing (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [9CE9A49410F5]
http://linked.open...v/mistoKonaniAkce
  • Pisa
http://linked.open...i/riv/mistoVydani
  • Praha
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the Discovery Chalenge 2004 - A Collaborative Effort in Knowledge Discovery from Databases
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kléma, Jiří
  • Štěpánková, Olga
  • Nováková, Lenka
  • Karel, F.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Vysoká škola ekonomická v Praze
http://localhost/t...ganizacniJednotka
  • 21230
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