Eureka! : A Tool for Interactive Knowledge Discovery (Articolo in rivista)

Type
Label
  • Eureka! : A Tool for Interactive Knowledge Discovery (Articolo in rivista) (literal)
Anno
  • 2002-01-01T00:00:00+01:00 (literal)
Alternative label
  • Manco G., Pizzuti C., Talia D. (2002)
    Eureka! : A Tool for Interactive Knowledge Discovery
    in Lecture notes in computer science
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Manco G., Pizzuti C., Talia D. (literal)
Pagina inizio
  • 381 (literal)
Pagina fine
  • 391 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 2453 (literal)
Rivista
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • ICAR-CNR (literal)
Titolo
  • Eureka! : A Tool for Interactive Knowledge Discovery (literal)
Abstract
  • In this paper we describe an interactive, visual knowledge discovery tool Organi di Ricerca CNR Consuntivi 2002 172 for analyzing numerical data sets. The tool combines a visual clustering method, to hypothesize meaningful structures in the data, and a classification machine learning algorithm, to validate the hypothesized structures. A two-dimensional representation of the available data allows a user to partition the search space by choosing shape or density according to criteria he deems optimal. A partition can be composed by regions populated according to some arbitrary form, not necessarily spherical. The accuracy of clustering results can be validated by using a decision tree classifier, included in the mining tool. (literal)
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Autore CNR

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