Detection of Anomaly Detection with high dimensional data using volume and velocity aspects-Reference-Cited by-同舟云学术

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Detection of Anomaly Detection with high dimensional data using volume and velocity aspects

Published:2023-11-23 Issue: Volume:2 Page:1-6
ISSN:
Container-title:Proceedings of the 5th International Conference on Information Management & Machine Intelligence
language:
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Author:

Tata Ravi Kumar¹^ORCID,Chakraborty Koushik²^ORCID,Mahajan Rashima³^ORCID,Dudeja Deepak⁴^ORCID,Ramkumar R⁵^ORCID,Gupta Upasana⁶^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, India

2. Office of the Registrar, Adamas University, India

3. Department of Computer Science and Engineering, Manav Rachna International Institute of Research and Studies, India

4. Mulana, Maharishi Markandeshwar Engineering College, India

5. Department of Electrical and Electronics Engineering_School of Engineering and Technology, Dhanalakshmi Srinivasan University, India

6. CSE, BBDU, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3647444.3647860

Reference30 articles.

1. Internet of Things (IoT): A Literature Review

2. A survey of network anomaly detection techniques

3. Kaur Harjinder Gurpreet Singh and Jaspreet Minhas. "A review of machine learning based anomaly detection techniques." arXiv preprint arXiv:1307.7286 (2013).

4. Thudumu, Srikanth, Philip Branch, Jiong Jin, and Jugdutt Singh. "A comprehensive survey of anomaly detection techniques for high dimensional big data." Journal of Big Data 7 (2020): 1-30.

5. Detection and tracking of moving cloud services from video using saliency map model

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