Integrating Community Matching and Outlier Detection for Mining Evolutionary Community Outliers

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Provided by: Association for Computing Machinery
Topic: Big Data
Format: PDF
Temporal datasets, in which data evolves continuously, exist in a wide variety of applications, and identifying anomalous or outlying objects from temporal datasets is an important and challenging task. Different from traditional outlier detection, which detects objects that have quite different behavior compared with the other objects, temporal outlier detection tries to identify objects that have different evolutionary behavior compared with other objects. Usually objects form multiple communities, and most of the objects belonging to the same community follow similar patterns of evolution.
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