In this paper, we evaluate a detection of outliers based on the distance between the current measurement and its neighbors. Our detailed evaluation supports a ...
Anomaly detection through finding outlier measurements is an important issue for monitoring application using a large databases gathered by Wireless Sensor ...
Abstract—Anomaly detection through finding outlier measure- ments is an important issue for monitoring application using a large databases gathered by ...
Anomaly detection through finding outlier measurements is an important issue for monitoring application using a large databases gathered by Wireless Sensor ...
In this paper we propose a novel in-network knowledge discovery approach that provides outlier detection and data clustering simultaneously.
The paper presents the proposed method, which uses neighborhood information to identify anomalies in spatial data. (consisting of latitude and longitude) ...
Aug 23, 2024 · Its primary function is to identify anomalies and errors within sensor data, enabling early warning systems for abnormal conditions,.
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A method of neighborhood data fusion in decentralized anomaly detection is proposed. The effects of neighborhood size and spatio-temporal correlation are ...
Sep 15, 2021 · Anomaly detection, or outlier detection, is the process of detecting noisy data amidst the contexts thus described. The literature contains ...
Jul 21, 2021 · The third step of the proposed approach aims to determine the outliers and the anomaly data in each sensor node by performing a random.