Knowledge data discovery and data mining in a design environment

Mark Haffey, Alex Duffy

Research output: Contribution to conferencePaper

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Abstract

Designers, in the process of satisfying design requirements, generally encounter difficulties in, firstly, understanding the problem and secondly, finding a solution [Cross 1998]. Often the process of understanding the problem and developing a feasible solution are developed simultaneously by proposing a solution to gauge the extent to which the solution satisfies the specific requirements. Support for future design activities has long been recognised to exist in the form of past design cases, however the varying degrees of similarity and dissimilarity found between previous and current design requirements and solutions has restrained the effectiveness of utilising past design solutions. The knowledge embedded within past designs provides a source of experience with the potential to be utilised in future developments provided that the ability to structure and manipulate that knowledgecan be made a reality. The importance of providing the ability to manipulate past design knowledge, allows the ranging viewpoints experienced by a designer, during a design process, to be reflected and supported. Data Mining systems are gaining acceptance in several domains but to date remain largely unrecognised in terms of the potential to support design activities. It is the focus of this paper to introduce the functionality possessed within the realm of Data Mining tools, and to evaluate the level of support that may be achieved in manipulating and utilising experiential knowledge to satisfy designers' ranging perspectives throughout a product's development.
Original languageEnglish
Number of pages15
Publication statusPublished - 2000
EventWorkship Series on Knowledge Intensive CAD, IFIP WG5.2 - University of Parma, Parma, Italy
Duration: 22 May 200024 May 2000

Conference

ConferenceWorkship Series on Knowledge Intensive CAD, IFIP WG5.2
CityUniversity of Parma, Parma, Italy
Period22/05/0024/05/00

Keywords

  • data manipulation
  • knowledge transformers
  • re-use
  • knowledge data discovery
  • data mining

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