3D visual data mining - Goals and experiences

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

  • Michael Böhlen
  • ,
  • Linas Bukauskas
  • ,
  • Poul Svante Eriksen
  • ,
  • Steffen Lilholt Lauritzen
  • ,
  • Arturas Mažzeika
  • ,
  • Peter Musaeus
  • Peer Mylov

The visual exploration of large databases raises a number of unresolved inference problems and calls for new interaction patterns between multiple disciplines-both at the conceptual and technical level. We present an approach that is based on the interaction of four disciplines: database systems, statistical analyses, perceptual and cognitive psychology, and scientific visualization. At the conceptual level we offer perceptual and cognitive insights to guide the information visualization process. We then choose cluster surfaces to exemplify the data mining process, to discuss the tasks involved, and to work out the interaction patterns.

TidsskriftComputational Statistics and Data Analysis
Sider (fra-til)445-469
Antal sider25
StatusUdgivet - 28 aug. 2003

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