Palmer, Claire Harding, Jennifer Swarnkar, Rahul Das, Bishnu P. Young, Robert I.M. Generating rules from data mining for collaboration moderator services 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. Collaborative projects;Moderators;Knowledge discovery;Data mining;Virtual enterprise;Virtual organization;Mechanical Engineering not elsewhere classified;Artificial Intelligence and Image Processing 2012-03-23
    https://repository.lboro.ac.uk/articles/journal_contribution/Generating_rules_from_data_mining_for_collaboration_moderator_services/9576122