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  • The paper proposes information about one research line in the project %22The development of methods for computation of energy and mass flows in the selected ecosystems.%22 The goal of the project is concentrated on the discovery of conditions that provides auto-regulation modes in the systems and support the development of bio-diversity. The basic structure of monitoring system (measurement centers, measured variables and the structure of the database system) is introduced in the paper. The main attention is oriented to Data Mining methods. Two methods are discussed and applied in the paper: Concept Lattice-based method that leads to knowledge discoveries in the form of rules and method based on rough sets, that enables to form approximations of data and knowledge structures. A demonstration of the mentioned method is presented in a database segment acquired from one of measurement centers.
  • The paper proposes information about one research line in the project %22The development of methods for computation of energy and mass flows in the selected ecosystems.%22 The goal of the project is concentrated on the discovery of conditions that provides auto-regulation modes in the systems and support the development of bio-diversity. The basic structure of monitoring system (measurement centers, measured variables and the structure of the database system) is introduced in the paper. The main attention is oriented to Data Mining methods. Two methods are discussed and applied in the paper: Concept Lattice-based method that leads to knowledge discoveries in the form of rules and method based on rough sets, that enables to form approximations of data and knowledge structures. A demonstration of the mentioned method is presented in a database segment acquired from one of measurement centers. (en)
Title
  • The Application of Data Mining Methods in Monitoring of Ecosystems
  • The Application of Data Mining Methods in Monitoring of Ecosystems (en)
skos:prefLabel
  • The Application of Data Mining Methods in Monitoring of Ecosystems
  • The Application of Data Mining Methods in Monitoring of Ecosystems (en)
skos:notation
  • RIV/68407700:21220/08:00149185!RIV10-MSM-21220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(2B06023)
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
  • 356718
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21220/08:00149185
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Approximation; Concept Lattice; Data Mining; Hasse Diagram; Rough Set (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E9D124DD78AE]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • Mendel 2008
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...iv/tvurceVysledku
  • Bíla, Jiří
  • Jura, Jakub
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Vysoké učení technické v Brně
https://schema.org/isbn
  • 978-80-214-3675-6
http://localhost/t...ganizacniJednotka
  • 21220
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