An improvement of FP-Growth association rule mining algorithm based on adjacency table
MATEC Web Conf., 189 (2018) 10012
Published online: 2018-08-10
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
SDFP-Growth Algorithm as a Novelty of Association Rule Mining Optimization
Boby Siswanto, Haryono Soeparno, Nesti Fronika Sianipar and Widodo BudihartoIEEE Access 12 21491 (2024)
https://doi.org/10.1109/ACCESS.2024.3361667
394 27 (2024)
https://doi.org/10.1007/978-981-97-3980-6_3
697 (2023)
https://doi.org/10.1109/ICCoSITE57641.2023.10127722
An improved frequent pattern tree: the child structured frequent pattern tree CSFP-tree
O. Jamsheela and G. RajuPattern Analysis and Applications 26 (2) 437 (2023)
https://doi.org/10.1007/s10044-022-01111-1
Using BTA Algorithm for finding Nash equilibrium problem aiming the extraction of rules in rule learning
M. Boudaghi, F. Mahan and A. IsazadehSoft Computing 26 (1) 439 (2022)
https://doi.org/10.1007/s00500-021-06432-7
28 (2021)
https://doi.org/10.23919/CNSM52442.2021.9615506
209 (2021)
https://doi.org/10.1109/SDPC52933.2021.9563390
Machine Learning for Cyber Security
Mingxue Zhang and Fuyuan XiaoLecture Notes in Computer Science, Machine Learning for Cyber Security 12488 394 (2020)
https://doi.org/10.1007/978-3-030-62463-7_36
1 (2020)
https://doi.org/10.1109/ICCA49400.2020.9022857