Personal information

Emails & domains

Verified email addresses

Verified email domains

Websites & social links

Personal website

Other IDs

Scopus Author ID: 55195057700
ResearcherID: D-2495-2019

Countries

Vietnam

Activities

Collapse all

Employment (1)

International University: Ho Chi Minh City, VN

2018-12-03 to present | Head of Department of Data Science (School of Computer Science & Engineering)
Employment
Source: Self-asserted source
Loan T.T. Nguyen

Education and qualifications (1)

University of Warsaw: Warsaw, PL

2016-10-01 to 2017-09-30 | Postdoctoral's degree (Faculty of Mathematics, Informatics, and Mechanics)
Education
Source: Self-asserted source
Loan T.T. Nguyen

Works (31)

Efficient methods for mining weighted clickstream patterns

Expert Systems with Applications
2020-03-15 | Journal article
DOI: 10.1016/j.eswa.2019.112993
Part of ISSN: 0957-4174
Source: Self-asserted source
Loan T.T. Nguyen

Efficient Algorithm for Mining Non-Redundant High-Utility Association Rules

Sensors
2020-02 | Journal article | Author
DOI: 10.3390/s20041078
Contributors: Thang Mai; Loan T.T. Nguyen; Bay Vo; Unil Yun; Tzung-Pei Hong
Source: check_circle
Multidisciplinary Digital Publishing Institute

An Efficient Algorithm for Mining Frequent Closed Inter- Transaction Patterns

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)
2019-10 | Conference paper
DOI: 10.1109/smc.2019.8914208
ISBN: 9781728145693
Source: Self-asserted source
Loan T.T. Nguyen
grade
Preferred source (of 2)‎

Mining high-utility itemsets in dynamic profit databases

Knowledge-Based Systems
2019-07 | Journal article
DOI: 10.1016/j.knosys.2019.03.022
Part of ISSN: 0950-7051
Source: Self-asserted source
Loan T.T. Nguyen

A dynamic packed approach for analytic data warehouse in Ad-Hoc queries

Advances in Intelligent Systems and Computing
2018 | Book
DOI: 10.1007/978-3-319-67220-5_19
EID:

2-s2.0-85029473278
Contributors: Nguyen, L.T.T.; Nguyen, H.S.; Nguyen, S.H.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

A Weighted Approach for Class Association Rules

Studies in Computational Intelligence
2018 | Book
DOI: 10.1007/978-3-319-76081-0_18
EID:

2-s2.0-85043331146
Contributors: Nguyen, L.T.T.; Vo, B.; Mai, T.; Nguyen, T.-L.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

An improved algorithm for mining top-k association rules

Advances in Intelligent Systems and Computing
2018 | Book
DOI: 10.1007/978-3-319-61911-8_11
EID:

2-s2.0-85025160120
Contributors: Nguyen, L.T.T.; Nguyen, L.T.T.; Vo, B.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

Constraint-based method for mining colossal patterns in high dimensional databases

Advances in Intelligent Systems and Computing
2018 | Book
DOI: 10.1007/978-3-319-67220-5_18
EID:

2-s2.0-85029511563
Contributors: Nguyen, T.-L.; Vo, B.; Huynh, B.; Snasel, V.; Nguyen, L.T.T.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

A lattice-based approach for mining high utility association rules

Information Sciences
2017 | Journal article
DOI: 10.1016/j.ins.2017.02.058
EID:

2-s2.0-85014995509
Contributors: Mai, T.; Vo, B.; Nguyen, L.T.T.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

A method for mining top-rank- k frequent closed itemsets

Journal of Intelligent and Fuzzy Systems
2017 | Journal article
DOI: 10.3233/JIFS-169128
EID:

2-s2.0-85011392418
Contributors: Nguyen, L.T.T.; Trinh, T.; Nguyen, N.-T.; Vo, B.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

A new method for mining colossal patterns

2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
2017 | Conference paper
DOI: 10.1109/SMC.2016.7844714
EID:

2-s2.0-85015809211
Contributors: Nguyen, T.-L.; Vo, B.; Nguyen, L.T.T.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

An improved algorithm for mining frequent Inter-transaction patterns

Proceedings - 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2017
2017 | Conference paper
DOI: 10.1109/INISTA.2017.8001174
EID:

2-s2.0-85030252355
Contributors: Nguyen, T.-N.; Nguyen, L.T.T.; Nguyen, N.-T.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

Efficient method for updating class association rules in dynamic datasets with record deletion

Applied Intelligence
2017 | Journal article
DOI: 10.1007/s10489-017-1023-z
EID:

2-s2.0-85027893189
Contributors: Nguyen, L.T.T.; Nguyen, N.-T.; Vo, B.; Nguyen, H.S.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

ETARM: an efficient top-k association rule mining algorithm

Applied Intelligence
2017 | Journal article
DOI: 10.1007/s10489-017-1047-4
EID:

2-s2.0-85028549089
Contributors: Nguyen, L.T.T.; Vo, B.; Nguyen, L.T.T.; Fournier-Viger, P.; Selamat, A.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

Mining class association rules with synthesis constraints

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017 | Book
DOI: 10.1007/978-3-319-54472-4_52
EID:

2-s2.0-85018601522
Contributors: Nguyen, L.T.T.; Vo, B.; Nguyen, H.; Nguyen, S.H.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

An efficient approach for mining closed high utility itemsets and generators

Journal of Information and Telecommunication
2017-07-03 | Journal article
DOI: 10.1080/24751839.2017.1347392
Part of ISSN: 2475-1839
Part of ISSN: 2475-1847
Source: Self-asserted source
Loan T.T. Nguyen

A method for query top-K rules from class association rule set

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2016 | Book
DOI: 10.1007/978-3-662-49381-6_62
EID:

2-s2.0-84961200753
Contributors: Nguyen, L.T.T.; Nguyen, H.T.; Vo, B.; Nguyen, N.-T.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

A quick method for querying top-k rules from class association rule set

Journal of Universal Computer Science
2016 | Journal article
EID:

2-s2.0-84983437673
Contributors: Nguyen, L.T.T.; Nguyen, N.-T.; Trawiński, B.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

Efficient mining of class association rules with the itemset constraint

Knowledge-Based Systems
2016 | Journal article
DOI: 10.1016/j.knosys.2016.03.025
EID:

2-s2.0-84992302383
Contributors: Nguyen, D.; Nguyen, L.T.T.; Vo, B.; Pedrycz, W.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

Mining closed high utility itemsets in uncertain databases

ACM International Conference Proceeding Series
2016 | Conference paper
DOI: 10.1145/3011077.3011124
EID:

2-s2.0-85007570701
Contributors: Bui, N.; Vo, B.; Huynh, V.-N.; Lin, C.-W.; Nguyen, L.T.T.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

A novel method for constrained class association rule mining

Information Sciences
2015 | Journal article
DOI: 10.1016/j.ins.2015.05.006
EID:

2-s2.0-84937428389
Contributors: Nguyen, D.; Nguyen, L.T.T.; Vo, B.; Hong, T.-P.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

An improved algorithm for mining class association rules using the difference of Obidsets

Expert Systems with Applications
2015 | Journal article
DOI: 10.1016/j.eswa.2015.01.002
EID:

2-s2.0-84923253370
Contributors: Nguyen, L.T.T.; Nguyen, N.T.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

CARIM: An efficient algorithm for mining class-association rules with interestingness measures

International Arab Journal of Information Technology
2015 | Journal article
EID:

2-s2.0-84957092873
Contributors: Nguyen, L.; Vo, B.; Hong, T.-P.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

Incremental mining class association rules using diffsets

Advances in Intelligent Systems and Computing
2015 | Book
DOI: 10.1007/978-3-319-17996-4_18
EID:

2-s2.0-84942572036
Contributors: Nguyen, L.T.; Nguyen, N.T.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

Updating mined class association rules for record insertion

Applied Intelligence
2015 | Journal article
DOI: 10.1007/s10489-014-0614-1
EID:

2-s2.0-84931586139
Contributors: Nguyen, L.T.T.; Nguyen, N.-T.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

Mining class association rules with the difference of obidsets

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2014 | Book
DOI: 10.1007/978-3-319-05458-2_8
EID:

2-s2.0-84958525334
Contributors: Nguyen, L.T.T.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

CAR-Miner: An efficient algorithm for mining class-association rules

Expert Systems with Applications
2013 | Journal article
DOI: 10.1016/j.eswa.2012.10.035
EID:

2-s2.0-84872866176
Contributors: Nguyen, L.T.T.; Vo, B.; Hong, T.-P.; Thanh, H.C.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

A fast algorithm for classification based on association rules

Proceedings - 2012 IEEE International Conference on Granular Computing, GrC 2012
2012 | Conference paper
DOI: 10.1109/GrC.2012.6468693
EID:

2-s2.0-84875008580
Contributors: Nguyen, L.T.T.; Vo, B.; Hong, T.-P.; Thanh, H.C.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

Classification based on association rules: A lattice-based approach

Expert Systems with Applications
2012 | Journal article
DOI: 10.1016/j.eswa.2012.03.036
EID:

2-s2.0-84861339184
Contributors: Nguyen, L.T.T.; Vo, B.; Hong, T.-P.; Thanh, H.C.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

Interestingness measures for classification based on association rules

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2012 | Book
DOI: 10.1007/978-3-642-34707-8_39
EID:

2-s2.0-84870912285
Contributors: Nguyen, L.T.T.; Vo, B.; Hong, T.-P.; Thanh, H.C.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

An efficient pruning approach for class association rule mining

Smart Innovation, Systems and Technologies
2010 | Book
DOI: 10.1007/978-3-642-14616-9_54
EID:

2-s2.0-84879282965
Contributors: Nguyen, L.T.T.; Nguyen, T.N.
Source: Self-asserted source
Loan T.T. Nguyen via Scopus - Elsevier

Peer review (10 reviews for 4 publications/grants)

Review activity for Applied intelligence. (3)
Review activity for Information sciences. (5)
Review activity for Journal of ambient intelligence & humanized computing (1)
Review activity for Knowledge-based systems. (1)
How many people are using ORCID?