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This is a Literature Review study.

August 25, 2025International Journal of Emerging Science and Engineering

A Review of Anomaly Detection Machine Learning and Deep Learning Techniques

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Anomaly detection techniques reveal irregularities in data streams, improving monitoring systems and fraud detection.
Key findings indicate that machine learning and deep learning methods effectively identify anomalies in large datasets.
The review covers a range of techniques deployed across various fields to manage data stream challenges.
Understanding these techniques may enable better real-time data monitoring and decreased fraud occurrence.

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Implication

This review highlights anomaly detection methods in streaming data, emphasizing machine learning and deep learning's role in identifying irregularities.

Cite This Study

Rathore et al. (2025) studied this question.

synapsesocial.com/papers/68af5d69ad7bf08b1eae0a38 https://doi.org/10.35940/ijese.e2528.13090825

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Implication

This review highlights anomaly detection methods in streaming data, emphasizing machine learning and deep learning's role in identifying irregularities.

A Review of Anomaly Detection Machine Learning and Deep Learning Techniques

Key Points

Discussion

Implication

Cite This Study

A Review of Anomaly Detection Machine Learning and Deep Learning Techniques

Key Points

Discussion

Implication

Cite This Study

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