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- W2843473600 abstract "Telecommunication networks continuously generate various system logs which include plentiful information of system status. So these logs can be used to detect whether a network is under a fault scenario or not. In this paper, we propose an improved word mover's distance (WMD) called Topic Word Mover's Distance (T-WMD) to measure the distance between two log samples and then classify different fault logs to determine the fault root cause. Compared with original WMD, T-WMD takes topic information into consideration and provides more latent semantic information of log corpus. Experiments of k-nearest neighbor (k-nn) fault logs classification show that our T-WMD metric outperforms the original WMD." @default.
- W2843473600 created "2018-07-19" @default.
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- W2843473600 date "2018-06-01" @default.
- W2843473600 modified "2023-09-22" @default.
- W2843473600 title "Network log analysis based on the topic word mover's distance" @default.
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- W2843473600 doi "https://doi.org/10.1109/ccdc.2018.8407832" @default.
- W2843473600 hasPublicationYear "2018" @default.
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