Titlebook: New Developments in Unsupervised Outlier Detection; Algorithms and Appli Xiaochun Wang,Xiali Wang,Mitch Wilkes Book 2021 Xi‘an Jiaotong Uni

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Developments in Unsupervised Outlier Detection Researchwe first give a review on the fundamental aspects about unsupervised outlier detection techniques used throughout the present book. This is followed by a brief introduction to the performance evaluation metrics of outlier detection algorithms.

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Hiatus

Unsupervised Fraud Detection in Environmental Time Series Datasly, new data are arriving. To cope with the speed they are coming, in this chapter, we propose a simple statistical parameter-based anomaly method for fraud detection in environmental time series data. The results of the experiments performed show that the proposed algorithm is effective and efficient .

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