Association rules mining for discussion information in group deliberation support system

作者：Xiong Cai Quan; Chen Shao Bin; Ding Ming

来源：8th International Conference on Computer Science and Education, ICCSE 2013, 2013-08-26 to 2013-08-28.

DOI：10.1109/ICCSE.2013.6553885

• Association rules mining
• Cooperative groups
• Discussion Information
• First designs
• Information structures
• Support systems
• Toulmin

The purpose of group deliberation support system (GDSS) is to support cooperative group to discuss and reach consensus. In the course of deliberation, the group will produce a lot of discussion information, in which the consensus is hidden. This paper presents a method to analyze the discussion information in GDSS. We first design the discussion information structure based on Toulmin formalism, and then introduce an improved algorithm called aprioriTid for association rules mining. Finally, we use an example coming from the group deliberation support system called DTS to validate the effectiveness of the method.

• 出版日期2013