DocumentCode :
1989342
Title :
Research and Application of Association Rules Mining in Group-Based Teaching
Author :
Li, Bo ; Li, Renpu ; Xu, Banghai ; Yao, Qing
Author_Institution :
Sch. of Comput. Sci. & Technol., Ludong Univ., Yantai
Volume :
2
fYear :
2008
fDate :
21-22 Dec. 2008
Firstpage :
33
Lastpage :
36
Abstract :
For increasing the efficiency of mining association rules in student score database, this paper presents an improved algorithm that doesnpsilat extract all rules, but extracts a subset of all rules that is called rule-generating set. We can use it to get all rules. The number of the rule-generating set is smaller than all rules, so the efficiency of mining is increased. The algorithm in this paper extracts rule from a group of nodes. We can use smaller memory sizes storing rules and increase the speed of finding rules. The paper also proposed a kind of data structure used storing the rule-generating set and an algorithm that can use the rule-generating set to get normal rule-generating set. Lastly the method of deciding an item set existing or not was presented for application system.
Keywords :
data mining; teaching; association rules mining; group-based teaching; rule-generating set; student score database; Application software; Association rules; Computer science; Computer science education; Data mining; Educational technology; Geoscience and remote sensing; Itemsets; Lattices; Transaction databases; association rules; concept lattice; data mining; group-based teaching; rule-generating set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3563-0
Type :
conf
DOI :
10.1109/ETTandGRS.2008.96
Filename :
5070302
Link To Document :
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