Editore: Information Science Reference, 2021
ISBN 10: 1799877906 ISBN 13: 9781799877905
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 160,59
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Editore: Information Science Reference, 2021
ISBN 10: 1799877906 ISBN 13: 9781799877905
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 157,44
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Editore: Information Science Reference, 2021
ISBN 10: 1799877906 ISBN 13: 9781799877905
Lingua: Inglese
Da: Best Price, Torrance, CA, U.S.A.
EUR 151,88
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Editore: Information Science Reference, 2021
ISBN 10: 1799877906 ISBN 13: 9781799877905
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 160,58
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Editore: Information Science Reference, 2021
ISBN 10: 1799877906 ISBN 13: 9781799877905
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 182,06
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Editore: Information Science Reference, 2021
ISBN 10: 1799877906 ISBN 13: 9781799877905
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 182,10
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Editore: Information Science Reference, 2021
ISBN 10: 1799877892 ISBN 13: 9781799877899
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 207,78
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Editore: Information Science Reference, 2021
ISBN 10: 1799877892 ISBN 13: 9781799877899
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 203,30
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Editore: Information Science Reference, 2021
ISBN 10: 1799877892 ISBN 13: 9781799877899
Lingua: Inglese
Da: Best Price, Torrance, CA, U.S.A.
EUR 197,75
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Editore: Information Science Reference, 2021
ISBN 10: 1799877892 ISBN 13: 9781799877899
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 207,77
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Editore: Information Science Reference, 2021
ISBN 10: 1799877892 ISBN 13: 9781799877899
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 237,47
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Editore: Information Science Reference, 2021
ISBN 10: 1799877892 ISBN 13: 9781799877899
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 238,79
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 167,97
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 177,65
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: Information Science Reference, 2021
ISBN 10: 1799877906 ISBN 13: 9781799877905
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 178,21
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensively covers data-driven malware security with an emphasis on using statistical, machine learning and AI, as well as the current trends in ML/statistical approaches to detecting, clustering, and classification of cyber-threats.Klappentext.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 217,28
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 229,84
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: Information Science Reference, 2021
ISBN 10: 1799877906 ISBN 13: 9781799877905
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 220,81
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Every day approximately three-hundred thousand to four-hundred thousand new malware are registered, many of them being adware and variants of previously known malware. Anti-virus companies and researchers cannot deal with such a deluge of malware - to analyze and build patches. The only way to scale the efforts is to build algorithms to enable machines to analyze malware and classify and cluster them to such a level of granularity that it will enable humans (or machines) to gain critical insights about them and build solutions that are specific enough to detect and thwart existing malware and generic-enough to thwart future variants. Advances in Malware and Data-Driven Network Security comprehensively covers data-driven malware security with an emphasis on using statistical, machine learning, and AI as well as the current trends in ML/statistical approaches to detecting, clustering, and classification of cyber-threats. Providing information on advances in malware and data-driven network security as well as future research directions, it is ideal for graduate students, academicians, faculty members, scientists, software developers, security analysts, computer engineers, programmers, IT specialists, and researchers who are seeking to learn and carry out research in the area of malware and data-driven network security.
Editore: Information Science Reference, 2021
ISBN 10: 1799877892 ISBN 13: 9781799877899
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 230,04
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensively covers data-driven malware security with an emphasis on using statistical, machine learning and AI, as well as the current trends in ML/statistical approaches to detecting, clustering, and classification of cyber-threats.Klappentext.
Editore: Information Science Reference, 2021
ISBN 10: 1799877892 ISBN 13: 9781799877899
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 286,91
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Every day approximately three-hundred thousand to four-hundred thousand new malware are registered, many of them being adware and variants of previously known malware. Anti-virus companies and researchers cannot deal with such a deluge of malware - to analyze and build patches. The only way to scale the efforts is to build algorithms to enable machines to analyze malware and classify and cluster them to such a level of granularity that it will enable humans (or machines) to gain critical insights about them and build solutions that are specific enough to detect and thwart existing malware and generic-enough to thwart future variants. Advances in Malware and Data-Driven Network Security comprehensively covers data-driven malware security with an emphasis on using statistical, machine learning, and AI as well as the current trends in ML/statistical approaches to detecting, clustering, and classification of cyber-threats. Providing information on advances in malware and data-driven network security as well as future research directions, it is ideal for graduate students, academicians, faculty members, scientists, software developers, security analysts, computer engineers, programmers, IT specialists, and researchers who are seeking to learn and carry out research in the area of malware and data-driven network security.