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Lecture Notes in Computer Science
Outlier analysis is an important task in data mining and has attracted much attention in both research and applications. Previous work on outlier detection involves different types of databases such as spatial databases, time series databases, biomedical databases, etc. However, few of the existing studies have considered spatial networks where points reside on every edge. In this paper, we study the interesting problem of distance-based outliers in spatial networks. We propose an efficientdoi:10.1007/11733836_13 fatcat:cnp6vysfbbg5lcpi3z5xvyrwbe