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Anomaly Detection Health Analysis Techniques Core by Jin Shi (32 results)
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Anomaly-Detection and Health-Analysis Techniques for Core Router Systems
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 107.91
US$ 15.86 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
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Condition: As New. Unread book in perfect condition.
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Anomaly-detection and Health-analysis Techniques for Core Router Systems
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 107.90
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PF. Condition: New.
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Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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Anomaly-Detection and Health-Analysis Techniques for Core Router Systems
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 128.37
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Anomaly-detection and Health-analysis Techniques for Core Router Systems
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 124.29
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Anomaly-Detection and Health-Analysis Techniques for Core Router Systems
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 128.35
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Condition: New. pp. XIII, 148 101 illus., 90 illus. in color. 1 Edition NO-PA16APR2015-KAP.
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Anomaly-Detection and Health-Analysis Techniques for Core Router Systems
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 147.01
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Paperback. Condition: Brand New. 164 pages. 9.25x6.10x0.39 inches. In Stock.
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Anomaly-Detection and Health-Analysis Techniques for Core Router Systems
Published by Springer International Publishing, 2020
ISBN 10: 3030336662 ISBN 13: 9783030336660
Language: English
Taschenbuch. Condition: Neu. Anomaly-Detection and Health-Analysis Techniques for Core Router Systems | Shi Jin (u. a.) | Taschenbuch | xiii | Englisch | 2020 | Springer International Publishing | EAN 9783030336660 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Anomaly-Detection and Health-Analysis Techniques for Core Router Systems
Published by Springer International Publishing, Springer International Publishing Dez 2020, 2020
ISBN 10: 3030336662 ISBN 13: 9783030336660
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -This 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-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 core router system. They also describe the design of a changepoint-based anomaly detector such that anomaly detection can be adaptive to changes in the statistical features of data streams. The presentation also includes a symbol-based health status analyzer that first encodes, as a symbol sequence, the long-term complex time series collected from a number of core routers, and then utilizes the symbol sequence for health analysis. Finally, the authors describe an iterative, self-learning procedure for assessing the health status.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 164 pp. Englisch.
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Anomaly-Detection and Health-Analysis Techniques for Core Router Systems
Published by Springer International Publishing, 2020
ISBN 10: 3030336662 ISBN 13: 9783030336660
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This 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-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 core router system. They also describe the design of a changepoint-based anomaly detector such that anomaly detection can be adaptive to changes in the statistical features of data streams. The presentation also includes a symbol-based health status analyzer that first encodes, as a symbol sequence, the long-term complex time series collected from a number of core routers, and then utilizes the symbol sequence for health analysis. Finally, the authors describe an iterative, self-learning procedure for assessing the health status.Enables 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 iterative, self-learning procedure for assessing the health status.
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Hardcover. Condition: Brand New. 161 pages. 9.25x6.10x0.63 inches. In Stock.
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Anomaly-Detection and Health-Analysis Techniques for Core Router Systems
Published by Springer International Publishing, Springer International Publishing Dez 2019, 2019
ISBN 10: 3030336638 ISBN 13: 9783030336639
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Neuware -This 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-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 core router system. They also describe the design of a changepoint-based anomaly detector such that anomaly detection can be adaptive to changes in the statistical features of data streams. The presentation also includes a symbol-based health status analyzer that first encodes, as a symbol sequence, the long-term complex time series collected from a number of core routers, and then utilizes the symbol sequence for health analysis. Finally, the authors describe an iterative, self-learning procedure for assessing the health status.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 164 pp. Englisch.
-
Anomaly-Detection and Health-Analysis Techniques for Core Router Systems
Published by Springer International Publishing, 2019
ISBN 10: 3030336638 ISBN 13: 9783030336639
Language: English
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This 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-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 core router system. They also describe the design of a changepoint-based anomaly detector such that anomaly detection can be adaptive to changes in the statistical features of data streams. The presentation also includes a symbol-based health status analyzer that first encodes, as a symbol sequence, the long-term complex time series collected from a number of core routers, and then utilizes the symbol sequence for health analysis. Finally, the authors describe an iterative, self-learning procedure for assessing the health status.Enables 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 iterative, self-learning procedure for assessing the health status.
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Paperback. Condition: New. New. book.
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Anomaly-Detection and Health-Analysis Techniques for Core Router Systems
Published by Springer International Publishing Dez 2020, 2020
ISBN 10: 3030336662 ISBN 13: 9783030336660
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This 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-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 core router system. They also describe the design of a changepoint-based anomaly detector such that anomaly detection can be adaptive to changes in the statistical features of data streams. The presentation also includes a symbol-based health status analyzer that first encodes, as a symbol sequence, the long-term complex time series collected from a number of core routers, and then utilizes the symbol sequence for health analysis. Finally, the authors describe an iterative, self-learning procedure for assessing the health status.Enables 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 iterative, self-learning procedure for assessing the health status. 164 pp. Englisch.
-
Anomaly-Detection and Health-Analysis Techniques for Core Router Systems
Published by Springer International Publishing, 2020
ISBN 10: 3030336662 ISBN 13: 9783030336660
Language: English
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Enables Accurate Anomaly Detection Using Correlation-Based Time-Series AnalysisPresents the design of a changepoint-based anomaly detectorIncludes Hierarchical Symbol-based Health-Status AnalysisDescribes an iterative, self-learning .
-
Anomaly-Detection and Health-Analysis Techniques for Core Router Systems
Published by Springer International Publishing Dez 2019, 2019
ISBN 10: 3030336638 ISBN 13: 9783030336639
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This 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-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 core router system. They also describe the design of a changepoint-based anomaly detector such that anomaly detection can be adaptive to changes in the statistical features of data streams. The presentation also includes a symbol-based health status analyzer that first encodes, as a symbol sequence, the long-term complex time series collected from a number of core routers, and then utilizes the symbol sequence for health analysis. Finally, the authors describe an iterative, self-learning procedure for assessing the health status.Enables 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 iterative, self-learning procedure for assessing the health status. 164 pp. Englisch.
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Condition: New. Print on Demand.
-
Condition: New. PRINT ON DEMAND.
-
Anomaly-Detection and Health-Analysis Techniques for Core Router Systems
Published by Springer International Publishing, 2019
ISBN 10: 3030336638 ISBN 13: 9783030336639
Language: English
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Enables Accurate Anomaly Detection Using Correlation-Based Time-Series AnalysisPresents the design of a changepoint-based anomaly detectorIncludes Hierarchical Symbol-based Health-Status AnalysisDescribes an iterative, self-learning .
-
Condition: New. Print on Demand pp. XIII, 148 101 illus., 90 illus. in color.
