Association rule mining analysis on concept lattice and rough set

Dexing Wang; Lixia Cui; Yanhua Wang; Jian Zhang

doi:10.1109/ETCS.2010.545

Association rule mining analysis on concept lattice and rough set

Dexing Wang^*, Lixia Cui, Yanhua Wang, Jian Zhang

^*Corresponding author for this work

Shanghai Ocean University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Rough set is used extensively in the field of date mining, which is also an useful tool for mining rules from decision tables, then solves the bottleneck of knowledge acquisition effectively, while concept lattice represents knowledge shown with hierarchical structure on the Hasse diagram, thus it is properly applied to the description of mining association rules in databases. Association rules mining based on rough set and concept lattice can be shown that they perform the same function. However the latter represents the association rules more visual, vivid and concise than the former, therefore, association rule mining on concept lattice is applied to find common relations among different knowledge clusters in computer education.

Original language	English
Title of host publication	2nd International Workshop on Education Technology and Computer Science, ETCS 2010
Pages	432-435
Number of pages	4
DOIs	https://doi.org/10.1109/ETCS.2010.545
Publication status	Published - 2010
Externally published	Yes
Event	2nd International Workshop on Education Technology and Computer Science, ETCS 2010 - Wuhan, Hubei, China Duration: 6 Mar 2010 → 7 Mar 2010

Publication series

Name	2nd International Workshop on Education Technology and Computer Science, ETCS 2010
Volume	2

Conference

Conference	2nd International Workshop on Education Technology and Computer Science, ETCS 2010
Country/Territory	China
City	Wuhan, Hubei
Period	6/03/10 → 7/03/10

Keywords

Association rule
Concept lattice
Data mining
Rough set

Access to Document

10.1109/ETCS.2010.545

Cite this

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title = "Association rule mining analysis on concept lattice and rough set",

abstract = "Rough set is used extensively in the field of date mining, which is also an useful tool for mining rules from decision tables, then solves the bottleneck of knowledge acquisition effectively, while concept lattice represents knowledge shown with hierarchical structure on the Hasse diagram, thus it is properly applied to the description of mining association rules in databases. Association rules mining based on rough set and concept lattice can be shown that they perform the same function. However the latter represents the association rules more visual, vivid and concise than the former, therefore, association rule mining on concept lattice is applied to find common relations among different knowledge clusters in computer education.",

keywords = "Association rule, Concept lattice, Data mining, Rough set",

author = "Dexing Wang and Lixia Cui and Yanhua Wang and Jian Zhang",

year = "2010",

doi = "10.1109/ETCS.2010.545",

language = "English",

isbn = "9780769539874",

series = "2nd International Workshop on Education Technology and Computer Science, ETCS 2010",

pages = "432--435",

booktitle = "2nd International Workshop on Education Technology and Computer Science, ETCS 2010",

note = "2nd International Workshop on Education Technology and Computer Science, ETCS 2010 ; Conference date: 06-03-2010 Through 07-03-2010",

}

Wang, D, Cui, L, Wang, Y & Zhang, J 2010, Association rule mining analysis on concept lattice and rough set. in 2nd International Workshop on Education Technology and Computer Science, ETCS 2010., 5458707, 2nd International Workshop on Education Technology and Computer Science, ETCS 2010, vol. 2, pp. 432-435, 2nd International Workshop on Education Technology and Computer Science, ETCS 2010, Wuhan, Hubei, China, 6/03/10. https://doi.org/10.1109/ETCS.2010.545

Association rule mining analysis on concept lattice and rough set. / Wang, Dexing; Cui, Lixia; Wang, Yanhua et al.
2nd International Workshop on Education Technology and Computer Science, ETCS 2010. 2010. p. 432-435 5458707 (2nd International Workshop on Education Technology and Computer Science, ETCS 2010; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Association rule mining analysis on concept lattice and rough set

AU - Wang, Dexing

AU - Cui, Lixia

AU - Wang, Yanhua

AU - Zhang, Jian

PY - 2010

Y1 - 2010

N2 - Rough set is used extensively in the field of date mining, which is also an useful tool for mining rules from decision tables, then solves the bottleneck of knowledge acquisition effectively, while concept lattice represents knowledge shown with hierarchical structure on the Hasse diagram, thus it is properly applied to the description of mining association rules in databases. Association rules mining based on rough set and concept lattice can be shown that they perform the same function. However the latter represents the association rules more visual, vivid and concise than the former, therefore, association rule mining on concept lattice is applied to find common relations among different knowledge clusters in computer education.

AB - Rough set is used extensively in the field of date mining, which is also an useful tool for mining rules from decision tables, then solves the bottleneck of knowledge acquisition effectively, while concept lattice represents knowledge shown with hierarchical structure on the Hasse diagram, thus it is properly applied to the description of mining association rules in databases. Association rules mining based on rough set and concept lattice can be shown that they perform the same function. However the latter represents the association rules more visual, vivid and concise than the former, therefore, association rule mining on concept lattice is applied to find common relations among different knowledge clusters in computer education.

KW - Association rule

KW - Concept lattice

KW - Data mining

KW - Rough set

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U2 - 10.1109/ETCS.2010.545

DO - 10.1109/ETCS.2010.545

M3 - Conference contribution

AN - SCOPUS:77953041989

SN - 9780769539874

T3 - 2nd International Workshop on Education Technology and Computer Science, ETCS 2010

SP - 432

EP - 435

BT - 2nd International Workshop on Education Technology and Computer Science, ETCS 2010

T2 - 2nd International Workshop on Education Technology and Computer Science, ETCS 2010

Y2 - 6 March 2010 through 7 March 2010

ER -

Association rule mining analysis on concept lattice and rough set

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Conference

Keywords

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