Unsupervised Event Detection with Infinite Poisson Mixture Model

Abstract

Large amount of time series data generated by sensors and Web users is great source of contextual information. Detecting outliers with unusually high values in time series data is crucial for inferring about any events in the real world. In this work, we describe an infinite Poisson mixture model to detect events by identifying outliers in time series of… (More)
DOI: 10.1109/BigDataCongress.2015.88

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