PALMER, C. ... et al, 2013. Generating rules from data mining for collaboration moderator services. Journal of Intelligent Manufacturing, 24 (2), pp. 313-330.
A Moderator is a knowledge based system that supports collaborative working by raising
awareness of the priorities and requirements of other team members. However, the amount of
advice a Moderator can provide is limited by the knowledge it contains on team members. The
use of data mining techniques can contribute towards automating the process of knowledge
acquisition for a Moderator and enable hidden data patterns and relationships to be discovered to
facilitate the moderation process. A novel approach is presented, consisting of a knowledge
discovery framework which provides a semi-automatic methodology to generate rules by inserting
relationships discovered as a result of data mining into a generic template. To demonstrate the
knowledge discovery framework methodology an application case is described. The application
case acquires knowledge for a Moderator to make project partners aware of how to best formulate
a proposal for a European research project by data mining summaries of successful past projects.
Findings from the application case are presented.