IoT-Based Small Scale Anomaly Detection Using Dixon’s Q Test for e-Health Data

IoT-Based Small Scale Anomaly Detection Using Dixon’s Q Test for e-Health Data

Anomaly detection in the smart application domain can significantly improve the quality of data processing, especially when the size of a dataset is too small. Internet of Things (IoT) enables the development of numerous applications where sensor-data-aware anomalies can affect the decision making o...

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Bibliographic Details
Main Authors: Partha Pratim Ray, Dinesh Dash
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied System Innovation
Subjects:
IoT
anomaly detection
Dixon’s Q test
small-size data packets
Kolmogorov–Smirnov test
Online Access:https://www.mdpi.com/2571-5577/4/4/100

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https://www.mdpi.com/2571-5577/4/4/100

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