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Innovation And Creativity Support Via Chance Discovery, Genetic Algorithms, And Data Mining

Author

Listed:
  • XAVIER LLORÀ

    (Illinois Genetic Algorithms Lab, University of Illinois at Urbana-Champaign, 117 Transportation Building, 104 S. Mathews Ave., Urbana, IL 61801, USA)

  • DAVID E. GOLDBERG

    (Illinois Genetic Algorithms Lab, University of Illinois at Urbana-Champaign, 117 Transportation Building, 104 S. Mathews Ave., Urbana, IL 61801, USA)

  • YUKIO OHSAWA

    (Chance Discovery Consortium, University of Tokyo, Tokyo 112-0012, Japan)

  • NAOHIRO MATSUMURA

    (Graduate School of Economics, Osaka University, Osaka 560-0043, Japan)

  • YUICHI WASHIDA

    (Research and Development Division, Hakuhodo Inc., Tokyo 108-8088, Japan)

  • HIROSHI TAMURA

    (Research and Development Division, Hakuhodo Inc., Tokyo 108-8088, Japan)

  • MASATAKA YOSHIKAWA

    (Research and Development Division, Hakuhodo Inc., Tokyo 108-8088, Japan)

  • MICHAEL WELGE

    (National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, 1205 W. Clark St., Urbana, IL 61801, USA)

  • LORETTA AUVIL

    (National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, 1205 W. Clark St., Urbana, IL 61801, USA)

  • DUANE SEARSMITH

    (National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, 1205 W. Clark St., Urbana, IL 61801, USA)

  • KEI OHNISHI

    (Illinois Genetic Algorithms Lab, University of Illinois at Urbana-Champaign, 117 Transportation Building, 104 S. Mathews Ave., Urbana, IL 61801, USA)

  • CHEN-JU CHAO

    (Illinois Genetic Algorithms Lab, University of Illinois at Urbana-Champaign, 117 Transportation Building, 104 S. Mathews Ave., Urbana, IL 61801, USA)

Abstract

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.

Suggested Citation

  • Xavier Llorà & David E. Goldberg & Yukio Ohsawa & Naohiro Matsumura & Yuichi Washida & Hiroshi Tamura & Masataka Yoshikawa & Michael Welge & Loretta Auvil & Duane Searsmith & Kei Ohnishi & Chen-Ju Cha, 2006. "Innovation And Creativity Support Via Chance Discovery, Genetic Algorithms, And Data Mining," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 2(01), pages 85-100.
    • Handle: RePEc:wsi:nmncxx:v:02:y:2006:i:01:n:s1793005706000336
    DOI: 10.1142/S1793005706000336
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