Data Mining for Knowledge Acquisition in Engineering Design

  • Yoko Ishino
  • Yan Jin
Part of the Massive Computing book series (MACO, volume 3)

Abstract

Recently knowledge capturing in the design process using data mining techniques has attracted attentions from researchers. In this paper, we focus on how designers apply their knowledge and find ways to proceed with their design in given design situations. This design know-how is the knack for a design to be successful. In order to automatically capture the design know-how through design processes without overburdening designers, we 1) — introduced an object-oriented CAD system for data gathering, 2) — proposed a three-layer design process model to represent generic design processes, and 3) — developed a method, called Extended Dynamic Programming (EDP), to extract know-how knowledge from the gathered design process data. The effectiveness of the proposed approach has been demonstrated by a gear design prototype system Gear-CAD.

Keywords

Data Mining Design Process Knowledge Acquisition Pattern Match Design Event 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2001

Authors and Affiliations

  • Yoko Ishino
    • 1
  • Yan Jin
    • 1
  1. 1.IMPACT Laboratory, Denney Research Building, Suite 101University of Southern CaliforniaLos AngelesUSA

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