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
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