Knowledge Base Repository
In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.
Comparison of Predictive Data Mining Methods for their Application in a Design Process
Röhner, Sebastian; Donhauser, Maximilian; Wartzack, Sandro
Type:
Year:
2010
Editor:
Andreas Dagman; Rikard Söderberg
Author:
Section:
Virtual Product Realization
Page(s):
365-374
Abstract:
A design process is characterized by acquisition and processing of information or knowledge, respectively. The acquisition of information and knowledge can be direct, indirect or automatic. This paper presents an approach of how to automatically extract design knowledge from process data. Several data mining algorithms were tested on a benchmark data sets to find the best performing ones. Especially the C&RT algorithm turned out to be interesting as its extracted knowledge is rule-represented and can be used to cope with tasks that up to now require the experience of expert designers.
Keywords:
