Title :
Association rules mining for discussion information in group deliberation support system
Author :
Xiong Cai-quan ; Chen Shao-bin ; Ding Ming
Author_Institution :
Sch. of Comput. Sci., Hubei Univ. of Technol., Wuhan, China
Abstract :
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.
Keywords :
data mining; group decision support systems; DTS; GDSS; Toulmin formalism; aprioriTid; association rules mining; cooperative group; discussion information analysis; discussion information structure design; group deliberation support system; Barium; Itemsets; ApriorTid Algorithm; Association Rules; Discussion Information; Group deliberation support system;
Conference_Titel :
Computer Science & Education (ICCSE), 2013 8th International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4673-4464-7
DOI :
10.1109/ICCSE.2013.6553885
