A KPI Anomaly Detection Method Based on Fast Clustering-Reference-Cited by-同舟云学术

A KPI Anomaly Detection Method Based on Fast Clustering

Published:2022-11-01 Issue:11 Volume:E105.B Page:1309-1317
ISSN:0916-8516
Container-title:IEICE Transactions on Communications
language:en
Short-container-title:IEICE Trans. Commun.

Author:

WU Yun¹,SHI Yu¹,YANG Jieming¹,BAO Lishan²,LI Chunzhe³

Affiliation:

1. School of Computer Science, Northeast Electric Power University

2. Management Consulting Branch of Jiangsu Xinshun Energy, Industry Group Co. Ltd.

3. Tonghua Power Supply Company, State Grid Jilin Electric Power Co. Ltd.

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

https://www.jstage.jst.go.jp/article/transcom/E105.B/11/E105.B_2021TMP0002/_pdf

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