English, Article edition: INNOVATION AND CREATIVITY SUPPORT VIA CHANCE DISCOVERY, GENETIC ALGORITHMS, AND DATA MINING XAVIER LLORÃ; DAVID E. GOLDBERG; YUKIO OHSAWA; ...

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Bookmark: http://trove.nla.gov.au/version/133042
Physical Description
  • article
Language
  • English

Edition details

Title
  • INNOVATION AND CREATIVITY SUPPORT VIA CHANCE DISCOVERY, GENETIC ALGORITHMS, AND DATA MINING
Author
  • XAVIER LLORÃ
  • DAVID E. GOLDBERG
  • YUKIO OHSAWA
  • NAOHIRO MATSUMURA
  • YUICHI WASHIDA
  • HIROSHI TAMURA
  • MASATAKA YOSHIKAWA
  • MICHAEL WELGE
  • LORETTA AUVIL
  • DUANE SEARSMITH
  • KEI OHNISHI
  • CHEN-JU CHAO
Physical Description
  • article
Notes
  • Creativity protocols and methodologies tend to be time consuming if applied manually. This paper presents how information technologies can support innovation and creativity for collaborative scenario creation and discussion. The fusion of change discovery, genetics algorithms, data mining, and computer-supported collaborative tools provide computational models of innovation and creativity. The proposed technology allows groups of participants in a creative processes to have pervasive access to the analysis of the current scenario in real time. This paper introduces such innovation technologies gathered in the DISCUS project, and summarizes the usage of DISCUS on marketing research workshops.
  • Chance discovery, genetic algorithms, influence diffusion models, computer-mediated communication
  • RePEc:wsi:nmncxx:v:02:y:2006:i:01:p:85-100
Language
  • English
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