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Time Series and Multidimensional Streaming Outlier Detection

  • Aggarwal C
Springer New York, (2013), 225-265
DOI: 10.1007/978-1-4614-6396-2_8
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Abstract

The data generated by many applications is a continuous temporal process. Therefore, the temporal context is particularly important in outlier analysis. In many cases, the detection of unusual events needs to be performed in a time-critical manner. This is also...

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Aggarwal, C. C. (2013). Time Series and Multidimensional Streaming Outlier Detection. In Outlier Analysis (pp. 225–265). Springer New York. https://doi.org/10.1007/978-1-4614-6396-2_8

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