Student research abstract: Mining high average utility pattern using bio-inspired algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F22%3A63556560" target="_blank" >RIV/70883521:28140/22:63556560 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/3477314.3506970" target="_blank" >http://dx.doi.org/10.1145/3477314.3506970</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3477314.3506970" target="_blank" >10.1145/3477314.3506970</a>
Alternative languages
Result language
angličtina
Original language name
Student research abstract: Mining high average utility pattern using bio-inspired algorithm
Original language description
High average utility pattern (itemset) Mining (HAUIM) is a necessary research problem in the field of knowledge discovery and data mining. Several algorithms have been proposed to mine high average-utility itemsets (HAUIs). Nonetheless, the large search space leads to poor performance because of excessive execution time and memory usage. To handle this limitation, particle swarm optimization (PSO) is applied to mine HAUIs. In this paper, an effective Binary PSO-based algorithm namely HAUIM-BPSO is proposed to explore HAUI efficiently. In general, HAUIM-BPSO first sets the number of discovered potential high average-utility 1-itemsets (1-PHAUIs) as the size of a particle based on average utility upper bound (AUUB) property. The sigmoid function is also used in the updating process of the individual of the proposed HAUIM-BPSO algorithm. Substantial experiments conducted on publicly available datasets show that the proposed algorithm has better results than existing state-of-the-art algorithms in terms of runtime which can significantly reduce the combinational problem, memory usage, and convergence speed. © 2022 Owner/Author.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the ACM Symposium on Applied Computing
ISBN
978-1-4503-8713-2
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
445-448
Publisher name
Association for Computing Machinery
Place of publication
New York
Event location
on-line
Event date
Apr 25, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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