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

fYear

2013

fDate

26-28 April 2013

Firstpage

67

Lastpage

70

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Education (ICCSE), 2013 8th International Conference on

Conference_Location

Colombo

Print_ISBN

978-1-4673-4464-7

Type

conf

DOI

10.1109/ICCSE.2013.6553885

Filename

6553885