DETECTING ABNORMAL BEHAVIOR IN SOCIAL NETWORK WEBSITES BY USING A PROCESS MINING TECHNIQUE

Author:

Sahlabadi

Publisher

Science Publications

Subject

Artificial Intelligence,Computer Networks and Communications,Software

Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Mining Pull Requests to Detect Process Anomalies in Open Source Software Development;Proceedings of the IEEE/ACM 46th International Conference on Software Engineering;2024-04-12

2. LPMSAEF: Lightweight process mining-based software architecture evaluation framework for security and performance analysis;Heliyon;2024-03

3. NADA: NMF-Based Anomaly Detection in Adjacency-Matrices for Industrial Machine Log-Files;Lecture Notes in Computer Science;2024

4. GDP: Group-Based Differential Privacy Framework for Secure Process Mining in the Internet of Medical Things;2023 International Conference on Electrical Engineering and Informatics (ICEEI);2023-10-10

5. Enhancing the website usage using process mining;International Journal of Quality & Reliability Management;2023-06-26

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