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Generating rules from data mining for collaboration moderator services

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journal contribution
posted on 23.03.2012, 15:03 by Claire Palmer, Jennifer HardingJennifer Harding, Rahul Swarnkar, Bishnu P. Das, Robert I.M. Young
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.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

PALMER, C. ... et al, 2013. Generating rules from data mining for collaboration moderator services. Journal of Intelligent Manufacturing, 24 (2), pp. 313-330.

Publisher

© Springer

Version

AM (Accepted Manuscript)

Publication date

2013

Notes

This article was published in the Journal of Intelligent Manufacturing [© Springer] and the definitive version is available at: http://dx.doi.org/10.1007/s10845-011-0589-2

ISSN

0956-5515

Language

en