Abstract
Based on time-series detection algorithm, this paper puts forward a new analysis method for identify Network Element (NE) hitches. Aiming at specific characteristics of the NE, this paper propose a model which consider seasonal timing characteristics and impact of current data from recent data. Considering of multi-dimensional characteristics of NE, a density-based discovery algorithm is introduced into the modeling process. Experiments on the actual data coming from operates demonstrate the effectiveness and accuracy of the proposed methods.
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Zhang, D., Man, Y., Ren, L. (2018). A Composite Anomaly Detection Method for Identifying Network Element Hitches. In: Zu, Q., Hu, B. (eds) Human Centered Computing. HCC 2017. Lecture Notes in Computer Science(), vol 10745. Springer, Cham. https://doi.org/10.1007/978-3-319-74521-3_26
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DOI: https://doi.org/10.1007/978-3-319-74521-3_26
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