Performance Analysis of Hard Clustering Techniques for Big IoT Data Analytics-Reference-Cited by-同舟云学术

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Performance Analysis of Hard Clustering Techniques for Big IoT Data Analytics

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:2019 Cybersecurity and Cyberforensics Conference (CCC)
language:
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Author:

Ahmed Mohiuddin,Barkat Abu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8848308/8854526/08854563.pdf?arnumber=8854563

Cited by 4 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. Performance Improvement of Fuzzy C-Means Clustering Algorithm by Optimized Early Stopping for Inhomogeneous Datasets;Journal of information and communication convergence engineering;2023-09-30

2. RansomCoin: A New Dataset for Analysing Cryptocurrency Transactions - Addressing a Gap in the Literature;IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2023-05-20

3. Predictive Analytics-Based Cybersecurity Framework for Cloud Infrastructure;International Journal of Cloud Applications and Computing;2022-02-24

4. ECU-IoHT: A dataset for analyzing cyberattacks in Internet of Health Things;Ad Hoc Networks;2021-11

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