標(biāo)題: Titlebook: Anomaly-Detection and Health-Analysis Techniques for Core Router Systems; Shi Jin,Zhaobo Zhang,Xinli Gu Book 2020 Springer Nature Switzerl [打印本頁(yè)] 作者: 平凡人 時(shí)間: 2025-3-21 19:27
書目名稱Anomaly-Detection and Health-Analysis Techniques for Core Router Systems影響因子(影響力)
書目名稱Anomaly-Detection and Health-Analysis Techniques for Core Router Systems影響因子(影響力)學(xué)科排名
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書目名稱Anomaly-Detection and Health-Analysis Techniques for Core Router Systems讀者反饋
書目名稱Anomaly-Detection and Health-Analysis Techniques for Core Router Systems讀者反饋學(xué)科排名
作者: Culmination 時(shí)間: 2025-3-21 22:39
https://doi.org/10.1007/BFb0046097 time series in a hierarchical way. Hierarchical agglomerative clustering and sequitur rule discovery are implemented to learn important global and local patterns. Three classification methods including a vector-space-model-based approach are then utilized to identify the health status of core route作者: 我們的面粉 時(shí)間: 2025-3-22 02:08
https://doi.org/10.1007/BFb0046097y-connected feedforward autoencoder are applied to further reduce dimensionality of extracted feature matrix. Hierarchical clustering is then utilized to infer labels for the unlabeled dataset. Finally, a classifier is built and iteratively updated using both labeled and unlabeled dataset. Field dat作者: 不能仁慈 時(shí)間: 2025-3-22 06:32
s Accurate Anomaly Detection Using Correlation-Based Time-Series Analysis;.Presents the design of a changepoint-based anomaly detector;.Includes Hierarchical Symbol-based Health-Status Analysis;.Describes an it978-3-030-33666-0978-3-030-33664-6作者: Infect 時(shí)間: 2025-3-22 11:34 作者: pester 時(shí)間: 2025-3-22 14:01 作者: irreducible 時(shí)間: 2025-3-22 19:22
Anomaly-Detection and Health-Analysis Techniques for Core Router Systems978-3-030-33664-6作者: Esalate 時(shí)間: 2025-3-23 01:05
Changepoint-Based Anomaly Detection,idate the proposed anomaly detector. Experimental results show that our changepoint-based anomaly detector achieves better performance than traditional methods in terms of two metrics, namely success ratio and non-false-alarm ratio.作者: RENAL 時(shí)間: 2025-3-23 04:25
Hierarchical Symbol-Based Health-Status Analysis, time series in a hierarchical way. Hierarchical agglomerative clustering and sequitur rule discovery are implemented to learn important global and local patterns. Three classification methods including a vector-space-model-based approach are then utilized to identify the health status of core route作者: 用肘 時(shí)間: 2025-3-23 09:10
Self-learning and Efficient Health-Status Analysis,y-connected feedforward autoencoder are applied to further reduce dimensionality of extracted feature matrix. Hierarchical clustering is then utilized to infer labels for the unlabeled dataset. Finally, a classifier is built and iteratively updated using both labeled and unlabeled dataset. Field dat作者: 腫塊 時(shí)間: 2025-3-23 11:07
Introduction,s is then described, including both hardware and software advancement. A wide range of faults in routers are also discussed to show why they are becoming more difficult to detect, diagnose and repair in time. Next, we discuss various prior work on anomaly detection, including their advantages and di作者: euphoria 時(shí)間: 2025-3-23 17:11 作者: 約會(huì) 時(shí)間: 2025-3-23 21:46 作者: CLEFT 時(shí)間: 2025-3-24 00:22 作者: anaerobic 時(shí)間: 2025-3-24 04:56 作者: 不如樂死去 時(shí)間: 2025-3-24 09:34
Conclusions,e learning and statistical techniques to effectively assess the overall health and identify different types of anomalous behaviors in modern core router systems. This chapter then introduce four promising future research directions related to the prognostic fault tolerance of core router systems as 作者: 閃光東本 時(shí)間: 2025-3-24 13:49
Book 2020ocol (IP) networks. The techniques described provide the first comprehensive set of data-driven resiliency solutions for core router systems. The authors present an anomaly detector for core router systems using correlation-based time series analysis, which monitors a set of features of a complex co作者: 無(wú)能的人 時(shí)間: 2025-3-24 15:16 作者: PON 時(shí)間: 2025-3-24 20:37
Lecture Notes in Computer Sciencewell as other high-performance complex systems that can further utilize machine-learning and statistical techniques to lay the foundation for closing the gap between working silicon and a working system.作者: 捏造 時(shí)間: 2025-3-25 02:00 作者: 舊式步槍 時(shí)間: 2025-3-25 04:28
Accurate Anomaly Detection Using Correlation-Based Time-Series Analysis,rrelation analyzer is implemented to remove irrelevant and redundant features. Three types of synthetic anomalies, generated using a small amount of real data for a commercial telecom system, are used to validate the proposed anomaly detector.作者: Senescent 時(shí)間: 2025-3-25 08:19
Includes Hierarchical Symbol-based Health-Status Analysis.DeThis book tackles important problems of anomaly detection and health status analysis in complex core router systems, integral to today’s Internet Protocol (IP) networks. The techniques described provide the first comprehensive set of data-d作者: obsession 時(shí)間: 2025-3-25 12:39
https://doi.org/10.1007/978-3-8348-9949-1ing more difficult to detect, diagnose and repair in time. Next, we discuss various prior work on anomaly detection, including their advantages and disadvantages. Finally, we summarize current technique challenges and the overall motivation of this book.作者: 胖人手藝好 時(shí)間: 2025-3-25 19:53
Introduction,ing more difficult to detect, diagnose and repair in time. Next, we discuss various prior work on anomaly detection, including their advantages and disadvantages. Finally, we summarize current technique challenges and the overall motivation of this book.作者: Flatter 時(shí)間: 2025-3-25 22:17
https://doi.org/10.1007/978-3-8348-9949-1s is then described, including both hardware and software advancement. A wide range of faults in routers are also discussed to show why they are becoming more difficult to detect, diagnose and repair in time. Next, we discuss various prior work on anomaly detection, including their advantages and di作者: 竊喜 時(shí)間: 2025-3-26 02:32
https://doi.org/10.1007/BFb0046097nt mechanism depends on whether anomalies can be accurately detected before a failure occurs. In this chapter, we present an accurate anomaly detector for core router systems using correlation-based time-series analysis. The proposed method monitors the time-series data of a complex core router syst作者: 十字架 時(shí)間: 2025-3-26 06:20
https://doi.org/10.1007/BFb0046097prognostic diagnosis depends on whether anomalies can be accurately detected before a failure occurs. However, traditional anomaly detection techniques fail to detect ”outliers” when the statistical properties of the monitored data change significantly as time proceeds. In this chapter, we describe 作者: 極力證明 時(shí)間: 2025-3-26 11:50 作者: correspondent 時(shí)間: 2025-3-26 14:09
https://doi.org/10.1007/BFb0046097rge amount operational data is collected from core routers, due to high computational complexity and expensive labor cost, only a small part of this data is labeled by experts. The lack of labels is an impediment towards the adoption of supervised learning. We present an iterative self-learning proc作者: Climate 時(shí)間: 2025-3-26 17:40 作者: 宣稱 時(shí)間: 2025-3-27 00:37
https://doi.org/10.1007/978-3-030-33664-6Internet Protocol (IP) network routers; Network anomaly detection; Network Outlier Analysis; Changepoin作者: Phagocytes 時(shí)間: 2025-3-27 01:54 作者: 含糊其辭 時(shí)間: 2025-3-27 05:34
Shi Jin,Zhaobo Zhang,Xinli GuEnables Accurate Anomaly Detection Using Correlation-Based Time-Series Analysis.Presents the design of a changepoint-based anomaly detector.Includes Hierarchical Symbol-based Health-Status Analysis.De作者: analogous 時(shí)間: 2025-3-27 13:32
http://image.papertrans.cn/a/image/158035.jpg作者: AROMA 時(shí)間: 2025-3-27 16:22
,Kapitel?5 Grenzen von ?kollektiver Einbindung“ und Mehrheitsprinzip,r nicht auf die Wohnungseigentümer übertragen. Der Gesetzgeber darf den Wohnungseigentümern die Dispositionsbefugnis grunds?tzlich nur hinsichtlich des Gemeinschaftseigentums zuweisen. Das Bestimmungsrecht über das Sondereigentum muss demgegenüber grunds?tzlich individuell beim jeweiligen Wohnungsei作者: 權(quán)宜之計(jì) 時(shí)間: 2025-3-27 19:49
Completing Your Knowledge of Azure SQL,st people understood resilience and believed that they were resilient. In terms of knowledge of the CCC-CURA project, few were involved and, therefore, benefited from the interventions. The second series of interviews have demonstrated the importance of sustained interventions in order to enhance re作者: 紳士 時(shí)間: 2025-3-28 01:00 作者: 陳腐的人 時(shí)間: 2025-3-28 03:07
https://doi.org/10.1007/978-4-431-74093-3n be used to apply a systems approach to simulation, review specific case examples, and conclude with an overview of how simulation and hospital infrastructure can integrate to maximize the impact of systems integration.
