Vo Bay
Vo Bay
Ho Chi Minh City University of Technology (HUTECH), Ho Chi Minh, Viet Nam
hutech.edu.vn üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
A survey of itemset mining
P Fournier‐Viger, JCW Lin, B Vo, TT Chi, J Zhang, HB Le
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 7 (4 …, 2017
1412017
A new method for mining Frequent Weighted Itemsets based on WIT-trees
B Vo, F Coenen, B Le
Expert Systems with Applications 40 (4), 1256-1264, 2013
1282013
DBV-Miner: A Dynamic Bit-Vector approach for fast mining frequent closed itemsets
B Vo, TP Hong, B Le
Expert Systems with Applications 39 (8), 7196-7206, 2012
1062012
Mining frequent itemsets using the N-list and subsume concepts
B Vo, T Le, F Coenen, TP Hong
International Journal of Machine Learning and Cybernetics 7 (2), 253-265, 2016
782016
A lattice-based approach for mining most generalization association rules
B Vo, TP Hong, B Le
Knowledge-Based Systems 45, 20-30, 2013
712013
Classification based on association rules: A lattice-based approach
LTT Nguyen, B Vo, TP Hong, HC Thanh
Expert Systems with Applications 39 (13), 11357-11366, 2012
632012
CAR-Miner: An efficient algorithm for mining class-association rules
LTT Nguyen, B Vo, TP Hong, HC Thanh
Expert Systems with Applications 40 (6), 2305-2311, 2013
582013
An efficient and effective algorithm for mining top-rank-k frequent patterns
Q Huynh-Thi-Le, T Le, B Vo, B Le
Expert Systems with Applications 42 (1), 156-164, 2015
542015
A lattice-based approach for mining high utility association rules
T Mai, B Vo, LTT Nguyen
Information Sciences 399, 81-97, 2017
522017
MEI: an efficient algorithm for mining erasable itemsets
T Le, B Vo
Engineering Applications of Artificial Intelligence 27, 155-166, 2014
512014
A new method for mining high average utility itemsets
T Lu, B Vo, HT Nguyen, TP Hong
IFIP international conference on computer information systems and industrial …, 2015
482015
Interestingness measures for association rules: Combination between lattice and hash tables
B Vo, B Le
Expert Systems with Applications 38 (9), 11630-11640, 2011
462011
A novel classification algorithm based on association rules mining
B Vo, B Le
Pacific Rim Knowledge Acquisition Workshop, 61-75, 2008
442008
An efficient method for mining frequent itemsets with double constraints
H Duong, T Truong, B Vo
Engineering Applications of Artificial Intelligence 27, 148-154, 2014
432014
An N-list-based algorithm for mining frequent closed patterns
T Le, B Vo
Expert Systems with Applications 42 (19), 6648-6657, 2015
412015
Efficient strategies for parallel mining class association rules
D Nguyen, B Vo, B Le
Expert Systems with Applications 41 (10), 4716-4729, 2014
392014
An efficient algorithm for mining erasable itemsets using the difference of NC-Sets
T Le, B Vo, F Coenen
2013 IEEE International Conference on Systems, Man, and Cybernetics, 2270-2274, 2013
392013
A novel algorithm for mining high utility itemsets
B Le, H Nguyen, TA Cao, B Vo
2009 First Asian Conference on Intelligent Information and Database Systems …, 2009
392009
Mining traditional association rules using frequent itemsets lattice
B Vo, B Le
2009 International Conference on Computers & Industrial Engineering, 1401-1406, 2009
342009
A novel approach for mining maximal frequent patterns
B Vo, S Pham, T Le, ZH Deng
Expert Systems with Applications 73, 178-186, 2017
322017
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Makaleler 1–20