Information Mining to Enhance Shared Understanding in Collaborative Architectural Design
Ju-Hung Lan, Mao-Lin Chiu · Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia · 2005
This research focuses on how to enhance shared understanding in collaborative design from information point of view. The data mining techniques are applied to discover the design semantic patterns with information classification and association capabilities. A system prototype with an information visualization tool is developed to demonstrate the capability of enhancing shared understanding in collaborative design.