Outlier Detection Algorithms for Open Environments

Algorithms for Spatial Outlier Detection

A spatial outlier is a spatially referenced object whose non-spatial attribute values are significantly different from the values of its neighborhood. Identification of spatial outliers can lead to the discovery of unexpected, interesting, and useful spatial patterns for further analysis. One drawback of existing methods is that normal objects tend to be falsely detected as spatial outliers whe...

Energy Outlier Detection in Smart Environments

Despite a dramatic growth of power consumption in households, less attention has been paid to monitoring, analyzing and predicting energy usage. In this paper, we propose a framework to mine raw energy data by transforming time series energy data into a symbol sequence, and then extend a suffix tree data structure as an efficient representation to analyze global structural patterns. Then, we us...

Outlier Detection in Linked Open Data

WSO-based Spatial Outlier Detection Algorithms

Based on the idea of Weighted Spatial Outlier (WSO), this study identifies the influences of spatial attributes on the calculation of spatial outlying degree, combines these influences with non-spatial attributes, and proposes two revised spatial outlier detection algorithms, Improved Z-value (IZ-value) algorithm and Weighted Difference Algorithm (WDA). The proposed algorithms are detailed in t...

Detecting Significant Alarms using Outlier Detection Algorithms

Although alarms in plants are designed to notify any anomaly or faults in order to prevent accidents or to improve process, it is very difficult for the operators to identify meaningful alarms, since there are large volumes of false and nuisance alarms. Outlier detection algorithms are used to identify anomaly in data, and thus they can be used to suggest abnormal alarms. In this research, we a...