Anomaly Detection in Data Streams Using Machine Learning and Deep Learning

Data stream mining for movement has emerged as an important area of machine learning because of the huge amount of changing and continuous data coming from diverse sources such as social media, business sensors, and mobile communications. The goal of this anomaly identification in the data streams...

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Bibliographic Details
Main Author: Muhammad Amin Daneshwar
Format: Article
Language:English
Published: International Transactions on Electrical Engineering and Computer Science 2025-01-01
Series:International Transactions on Electrical Engineering and Computer Science
Subjects:
Online Access:https://iteecs.com/index.php/iteecs/article/view/118
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