Elicitation of Association Rules from Information on Customs Offences on the Basis of Frequent Motives

Journals Menu

Follow SCIRP

ISSN Print: 1947-3931
ISSN Online: 1947-394X
www.scirp.org/journal/eng
E-mail: eng@scirp.org

Citations

"Elicitation of Association Rules from Information on Customs Offences on the Basis of Frequent Motives"
written by Bi Bolou Zehero, Etienne Soro, Yake Gondo, Pacôme Brou, Olivier Asseu, Daniel Bourget,
published by Engineering, Vol.10 No.9, 2018

has been cited by the following article(s):

[1]	Comparison of three LDA, PCA and ICA Fast methods using fourteen data analysis algorithms to develop a risk assessment management model for export …
	… Journal of Nonlinear …, 2024

[2]	Fuzzy logic and neural network-based risk assessment model for import and export enterprises: A review
	Journal of Data …, 2023

[3]	Two tier model of exports drawback fraud detection system using intuitionistic fuzzy game theory
	Intelligent Decision Technologies, 2022

[4]	Developing a Model for Managing the Risk Assessment of Import Declarations in Customs based on Data Analysis Techniques
	Karimzadehb, 2022

[5]	Analysis of the Relevant Characteristics of Online Fraud Cases Happened on College Students
	International Journal of e-Education, e-Business, e-Management and e-Learning, 2021

[6]	RISK ANALYSIS AND DECISION SUPPORT SYSTEMS WITH DATA MINING TECHNIQUES IN CUSTOMS ADMINISTRATORS
	2019

Follow SCIRP

[1]	Account of Spatio-Temporal Characteristics in Customs Anti-Smuggling Intelligence Acquisition International Journal of Data Warehousing and Mining, 2025 DOI:10.4018/IJDWM.364846

[2]	Two tier model of exports drawback fraud detection system using intuitionistic fuzzy game theory Intelligent Decision Technologies, 2022 DOI:10.3233/IDT-210070