A Rule-Based Hybrid Method for Anomaly Detection in Online-Social-Network Graphs-Reference-Cited by-同舟云学术

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A Rule-Based Hybrid Method for Anomaly Detection in Online-Social-Network Graphs

Published:2013-11 Issue: Volume: Page:
ISSN:
Container-title:2013 IEEE 25th International Conference on Tools with Artificial Intelligence
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Author:

Hassanzadeh Reza,Nayak Richi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6734837/6735210/06735271.pdf?arnumber=6735271

Cited by 14 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

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2. Complex Event Processing in Heterogeneous Domains;2023 IEEE International Symposium on Multimedia (ISM);2023-12-11

3. A Systematic Review: Detection of Anomalies in Social Networks;2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS);2023-03-23

4. Robust Graph Neural-Network-Based Encoder for Node and Edge Deep Anomaly Detection on Attributed Networks;Electronics;2023-03-22

5. Improving IoT data availability via feedback- and voting-based anomaly imputation;Future Generation Computer Systems;2022-10

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