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Mining frequent approximate patterns in large networks

Published:2020-12-19 Issue:3 Volume:31 Page:1265-1279
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Technol

Author:

Driss Kaouthar¹,Boulila Wadii¹²^ORCID,Leborgne Aurélie³,Gançarski Pierre³

Affiliation:

1. RIADI Laboratory, National School of Computer Sciences University of Manouba Manouba Tunisia

2. IS Department, College of Computer Science and Engineering Taibah University Medina Saudi Arabia

3. ICube Laboratory University of Strasbourg Strasbourg France

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22533

Reference49 articles.

1. Frequent pattern mining: current status and future directions

2. Event detection through differential pattern mining in cyber‐physical systems;Bhuiyan MZA;IEEE Trans Big Data,2017

3. Pattern Mining Approaches Used in Sensor-Based Biometric Recognition: A Review

4. Mining temporal association rules with frequent itemsets tree

5. Algorithms for frequent itemset mining: a literature review

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1. Mining frequent items from high-dimensional set-valued data under local differential privacy protection;Expert Systems with Applications;2023-12

2. Modeling Complex Object Changes in Satellite Image Time-Series: Approach based on CSP and Spatiotemporal Graphs;Procedia Computer Science;2023

3. A cost-effective approach for mining near-optimal top-k patterns;Expert Systems with Applications;2022-09

4. A new color image encryption technique using DNA computing and Chaos-based substitution box;Soft Computing;2021-12-01

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