Anomaly Detection Principles and Algorithms (Terrorism, Security, and Computation)
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| Preise | 2017 | 2019 | 2020 |
|---|---|---|---|
| Schnitt | Fr. 91.13 (€ 93.11)¹ | Fr. 78.17 (€ 79.88)¹ | Fr. 104.51 (€ 106.79)¹ |
| Nachfrage |
1
Anomaly Detection and Security Applications (2017)
~EN NWISBN: 9783319675244 bzw. 3319675249, vermutlich in Englisch, 217 Seiten, Springer-Verlag GmbH, neu.
Lieferung aus: Deutschland, Versandkosten nach: Schweiz.
Von Händler/Antiquariat, AHA-BUCH GmbH, [4009276].
Neuware - This book provides a readable and elegant presentation of the principles of anomaly detection,providing an easy introduction for newcomers to the field. A large number of algorithms are succinctly described, along with a presentation of their strengths and weaknesses. The authors also cover algorithms that address different kinds of problems of interest with single and multiple time series data and multi-dimensional data. New ensemble anomaly detection algorithms are described, utilizing the benefits provided by diverse algorithms, each of which work well on some kinds of data. With advancements in technology and the extensive use of the internet as a medium for communications and commerce, there has been a tremendous increase in the threats faced by individuals and organizations from attackers and criminal entities. Variations in the observable behaviors of individuals (from others and from their own past behaviors) have been found to be useful in predicting potential problems of various kinds. Hence computer scientists and statisticians have been conducting research on automatically identifying anomalies in large datasets. This book will primarily target practitioners and researchers who are newcomers to the area of modern anomaly detection techniques. Advanced-level students in computer science will also find this book helpful with their studies. -, 01.12.2017, Buch, Neuware, 241x159x22 mm, 516g, 217, Internationaler Versand, PayPal, Kreditkarte, Offene Rechnung, Banküberweisung, Offene Rechnung (Vorkasse vorbehalten).
Von Händler/Antiquariat, AHA-BUCH GmbH, [4009276].
Neuware - This book provides a readable and elegant presentation of the principles of anomaly detection,providing an easy introduction for newcomers to the field. A large number of algorithms are succinctly described, along with a presentation of their strengths and weaknesses. The authors also cover algorithms that address different kinds of problems of interest with single and multiple time series data and multi-dimensional data. New ensemble anomaly detection algorithms are described, utilizing the benefits provided by diverse algorithms, each of which work well on some kinds of data. With advancements in technology and the extensive use of the internet as a medium for communications and commerce, there has been a tremendous increase in the threats faced by individuals and organizations from attackers and criminal entities. Variations in the observable behaviors of individuals (from others and from their own past behaviors) have been found to be useful in predicting potential problems of various kinds. Hence computer scientists and statisticians have been conducting research on automatically identifying anomalies in large datasets. This book will primarily target practitioners and researchers who are newcomers to the area of modern anomaly detection techniques. Advanced-level students in computer science will also find this book helpful with their studies. -, 01.12.2017, Buch, Neuware, 241x159x22 mm, 516g, 217, Internationaler Versand, PayPal, Kreditkarte, Offene Rechnung, Banküberweisung, Offene Rechnung (Vorkasse vorbehalten).
2
Anomaly Detection Principles and Algorithms
DE NWISBN: 9783319675244 bzw. 3319675249, in Deutsch, neu.
This book provides a readable and elegant presentation of the principles of anomaly detection,providing an easy introduction for newcomers to the field. A large number of algorithms are succinctly described, along with a presentation of their strengths and weaknesses. The authors also cover algorithms that address different kinds of problems of interest with single and multiple time series data and multi-dimensional data. New ensemble anomaly detection algorithms are described, utilizing the benefits provided by diverse algorithms, each of which work well on some kinds of data. With advancements in technology and the extensive use of the internet as a medium for communications and commerce, there has been a tremendous increase in the threats faced by individuals and organizations from attackers and criminal entities. Variations in the observable behaviors of individuals (from others and from their own past behaviors) have been found to be useful in predicting potential problems of various kinds. Hence computer scientists and statisticians have been conducting research on automatically identifying anomalies in large datasets. This book will primarily target practitioners and researchers who are newcomers to the area of modern anomaly detection techniques. Advanced-level students in computer science will also find this book helpful with their studies.
3
Anomaly Detection Principles And Algorithms
DE NWISBN: 9783319675244 bzw. 3319675249, in Deutsch, Springer Nature, neu.
Lieferung aus: Kanada, Lagernd, zzgl. Versandkosten.
Kishan G. Mehrotra, Chilukuri K. Mohan, Huaming Huang, Books, Computers, Anomaly Detection Principles And Algorithms, This book provides a readable and elegant presentation of the principles of anomaly detection,providing an easy introduction for newcomers to the field. A large number of algorithms are succinctly described, along with a presentation of their strengths and weaknesses.The authors also cover algorithms that address different kinds of problems of interest with single and multiple time series data and multi-dimensional data. New ensemble anomaly detection algorithms are described, utilizing the benefits provided by diverse algorithms, each of which work well on some kinds of data.With advancements in technology and the extensive use of the internet as a medium for communications and commerce, there has been a tremendous increase in the threats faced by individuals and organizations from attackers and criminal entities. Variations in the observable behaviors of individuals (from others and from their own past behaviors) have been found to be useful in predicting potential problems of various kinds. Hence computer scientists and statisticians have been conducting research on automatically identifying anomalies in large datasets.This book will primarily target practitioners and researchers who are newcomers to the area of modern anomaly detection techniques. Advanced-level students in computer science will also find this book helpful with their studies.
Kishan G. Mehrotra, Chilukuri K. Mohan, Huaming Huang, Books, Computers, Anomaly Detection Principles And Algorithms, This book provides a readable and elegant presentation of the principles of anomaly detection,providing an easy introduction for newcomers to the field. A large number of algorithms are succinctly described, along with a presentation of their strengths and weaknesses.The authors also cover algorithms that address different kinds of problems of interest with single and multiple time series data and multi-dimensional data. New ensemble anomaly detection algorithms are described, utilizing the benefits provided by diverse algorithms, each of which work well on some kinds of data.With advancements in technology and the extensive use of the internet as a medium for communications and commerce, there has been a tremendous increase in the threats faced by individuals and organizations from attackers and criminal entities. Variations in the observable behaviors of individuals (from others and from their own past behaviors) have been found to be useful in predicting potential problems of various kinds. Hence computer scientists and statisticians have been conducting research on automatically identifying anomalies in large datasets.This book will primarily target practitioners and researchers who are newcomers to the area of modern anomaly detection techniques. Advanced-level students in computer science will also find this book helpful with their studies.
4
Anomaly Detection Principles and Algorithms
DE HC NWISBN: 9783319675244 bzw. 3319675249, in Deutsch, Springer Shop, gebundenes Buch, neu.
Lieferung aus: Mexiko, Lagernd, zzgl. Versandkosten.
This book provides a readable and elegant presentation of the principles of anomaly detection,providing an easy introduction for newcomers to the field. A large number of algorithms are succinctly described, along with a presentation of their strengths and weaknesses. The authors also cover algorithms that address different kinds of problems of interest with single and multiple time series data and multi-dimensional data. New ensemble anomaly detection algorithms are described, utilizing the benefits provided by diverse algorithms, each of which work well on some kinds of data. With advancements in technology and the extensive use of the internet as a medium for communications and commerce, there has been a tremendous increase in the threats faced by individuals and organizations from attackers and criminal entities. Variations in the observable behaviors of individuals (from others and from their own past behaviors) have been found to be useful in predicting potential problems of various kinds. Hence computer scientists and statisticians have been conducting research on automatically identifying anomalies in large datasets. This book will primarily target practitioners and researchers who are newcomers to the area of modern anomaly detection techniques. Advanced-level students in computer science will also find this book helpful with their studies. Hard cover.
This book provides a readable and elegant presentation of the principles of anomaly detection,providing an easy introduction for newcomers to the field. A large number of algorithms are succinctly described, along with a presentation of their strengths and weaknesses. The authors also cover algorithms that address different kinds of problems of interest with single and multiple time series data and multi-dimensional data. New ensemble anomaly detection algorithms are described, utilizing the benefits provided by diverse algorithms, each of which work well on some kinds of data. With advancements in technology and the extensive use of the internet as a medium for communications and commerce, there has been a tremendous increase in the threats faced by individuals and organizations from attackers and criminal entities. Variations in the observable behaviors of individuals (from others and from their own past behaviors) have been found to be useful in predicting potential problems of various kinds. Hence computer scientists and statisticians have been conducting research on automatically identifying anomalies in large datasets. This book will primarily target practitioners and researchers who are newcomers to the area of modern anomaly detection techniques. Advanced-level students in computer science will also find this book helpful with their studies. Hard cover.
5
Symbolbild
Anomaly Detection Principles and Algorithms (2017)
~EN HC NWISBN: 9783319675244 bzw. 3319675249, vermutlich in Englisch, 2017. Ausgabe, Springer International Publishing, Cham, Switzerland, gebundenes Buch, neu.
Lieferung aus: Vereinigtes Königreich Grossbritannien und Nordirland, zzgl. Versandkosten, Versandgebiet: EUR.
Von Händler/Antiquariat, Blackwell's, Gloucestershire, Gloucester, [RE:5].
Hard cover, 2017 ed.
Von Händler/Antiquariat, Blackwell's, Gloucestershire, Gloucester, [RE:5].
Hard cover, 2017 ed.
7
Anomaly Detection and Security Applications (2017)
DE HC NWISBN: 9783319675244 bzw. 3319675249, in Deutsch, gebundenes Buch, neu.
Lieferung aus: Deutschland, Next Day, Versandkostenfrei.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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