Generating rules from data mining for collaboration moderator services

被引:7
|
作者
Palmer, C. [1 ]
Harding, J. A. [1 ]
Swarnkar, R. [1 ]
Das, B. P. [1 ]
Young, R. I. M. [1 ]
机构
[1] Univ Loughborough, Wolfson Sch Mech & Mfg Engn, Loughborough LE11 3TU, Leics, England
关键词
Collaborative projects; Moderators; Knowledge discovery; Data mining; Virtual enterprise; Virtual organization; SYSTEM;
D O I
10.1007/s10845-011-0589-2
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:313 / 330
页数:18
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