Change Point Enhanced Anomaly Detection for IoT Time Series Data

Change Point Enhanced Anomaly Detection for IoT Time Series Data

Due to the exponential growth of the Internet of Things networks and the massive amount of time series data collected from these networks, it is essential to apply efficient methods for Big Data analysis in order to extract meaningful information and statistics. Anomaly detection is an important par...

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Bibliographic Details
Main Authors: Elena-Simona Apostol, Ciprian-Octavian Truică, Florin Pop, Christian Esposito
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Water
Subjects:
time series
anomaly detection
change point detection
rule-based decision system
machine learning
Internet of Things
Online Access:https://www.mdpi.com/2073-4441/13/12/1633

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https://www.mdpi.com/2073-4441/13/12/1633

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