Knowledge data discovery and data mining in a design environment

Mark Haffey, Alex Duffy

Research output: Contribution to conferencePaper

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.

Conference

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

Fingerprint

Data mining
Product development
Gages

Keywords

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

Cite this

Haffey, M., & Duffy, A. (2000). Knowledge data discovery and data mining in a design environment. Paper presented at Workship Series on Knowledge Intensive CAD, IFIP WG5.2, University of Parma, Parma, Italy, .
Haffey, Mark ; Duffy, Alex . / Knowledge data discovery and data mining in a design environment. Paper presented at Workship Series on Knowledge Intensive CAD, IFIP WG5.2, University of Parma, Parma, Italy, .15 p.
@conference{f14e9db61bf848b3971c2e641b6c2a1f,
title = "Knowledge data discovery and data mining in a design environment",
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.",
keywords = "data manipulation, knowledge transformers, re-use, knowledge data discovery, data mining",
author = "Mark Haffey and Alex Duffy",
note = "Proceedings of the IFIP TC5 WG5.2 Fourth Workshop on Knowledge Intensive CAD to Knowledge Intensive Engineering; Workship Series on Knowledge Intensive CAD, IFIP WG5.2 ; Conference date: 22-05-2000 Through 24-05-2000",
year = "2000",
language = "English",

}

Haffey, M & Duffy, A 2000, 'Knowledge data discovery and data mining in a design environment' Paper presented at Workship Series on Knowledge Intensive CAD, IFIP WG5.2, University of Parma, Parma, Italy, 22/05/00 - 24/05/00, .

Knowledge data discovery and data mining in a design environment. / Haffey, Mark; Duffy, Alex .

2000. Paper presented at Workship Series on Knowledge Intensive CAD, IFIP WG5.2, University of Parma, Parma, Italy, .

Research output: Contribution to conferencePaper

TY - CONF

T1 - Knowledge data discovery and data mining in a design environment

AU - Haffey, Mark

AU - Duffy, Alex

N1 - Proceedings of the IFIP TC5 WG5.2 Fourth Workshop on Knowledge Intensive CAD to Knowledge Intensive Engineering

PY - 2000

Y1 - 2000

N2 - 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.

AB - 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.

KW - data manipulation

KW - knowledge transformers

KW - re-use

KW - knowledge data discovery

KW - data mining

M3 - Paper

ER -

Haffey M, Duffy A. Knowledge data discovery and data mining in a design environment. 2000. Paper presented at Workship Series on Knowledge Intensive CAD, IFIP WG5.2, University of Parma, Parma, Italy, .