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CLC number: TP391
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
Cited: 1
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Value reduction algorithm in rough sets based on association rules support
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Ma Yu-Liang, Yan Wen-Jun. Value reduction algorithm in rough sets based on association rules support[J]. Journal of Zhejiang University Science A, 2006, 7(101): 219-222.
@article{title="Value reduction algorithm in rough sets based on association rules support",
author="Ma Yu-Liang, Yan Wen-Jun",
journal="Journal of Zhejiang University Science A",
volume="7",
number="101",
pages="219-222",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.AS0219"
}
%0 Journal Article
%T Value reduction algorithm in rough sets based on association rules support
%A Ma Yu-Liang
%A Yan Wen-Jun
%J Journal of Zhejiang University SCIENCE A
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%N 101
%P 219-222
%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.AS0219
TY - JOUR
T1 - Value reduction algorithm in rough sets based on association rules support
A1 - Ma Yu-Liang
A1 - Yan Wen-Jun
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 101
SP - 219
EP - 222
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.AS0219
Abstract: Aiming at value reduction, a sort of RSVR algorithm was presented based on support in association rules via Apriori algorithm. A more effective reduction table can be obtained by deleting those rules with less support according to least support— minsup. The reduction feasibility of this algorithm was achieved by reducing the given decision table. Testing by UCI machine learning database and comparing this algorithm with least value reduction algorithm indicate the validity of RSVR algorithm.
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