2019
DOI: 10.3390/app9030437
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A Correlation-Change Based Feature Selection Method for IoT Equipment Anomaly Detection

Abstract: Selecting the right features for further data analysis is important in the process of equipment anomaly detection, especially when the origin data source involves high dimensional data with a low value density. However, existing researches failed to capture the fact that the sensor data are usually correlated (e.g., duplicated deployed sensors), and the correlations would be broken when anomalies occur with happen to the monitored equipment. In this paper, we propose to capture such sensor data correlation cha… Show more

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Cited by 41 publications
(28 citation statements)
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“…The time series behavior of an EV is the basis of traffic generation in the simulation of a large-scale charging scenario. Due to the mathematical simplicity of the approach and the fact that relatively few control parameters are required, the motion synthesis model is easy to be used in simulation platform and can achieve high performance especially in scenarios with large scale of EVs [19].…”
Section: Motion Synthesis Modelmentioning
confidence: 99%
“…The time series behavior of an EV is the basis of traffic generation in the simulation of a large-scale charging scenario. Due to the mathematical simplicity of the approach and the fact that relatively few control parameters are required, the motion synthesis model is easy to be used in simulation platform and can achieve high performance especially in scenarios with large scale of EVs [19].…”
Section: Motion Synthesis Modelmentioning
confidence: 99%
“…Similarly, for the IoT devices, performance improvement, and detection of an anomaly, Shen Su at el. [34] studied the most cited feature selection technique and introduced a feature selection method. For their study, they initially group the IoT sensors as a group for the identification of deployed sensors.…”
Section: Related Workmentioning
confidence: 99%
“…When recommending charging piles, we may encounter situations where we recommend the same charging pile to two or more users [26,27]. Under some circumstances, it leads to recommendation conflict if the number of charging piles is insufficient.…”
Section: Dynamic Charging Area Mechanismmentioning
confidence: 99%