Hardcover. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Lingua: Inglese
Editore: Chapman and Hall/CRC (edition 1), 2022
ISBN 10: 1032401001 ISBN 13: 9781032401003
Da: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Lingua: Inglese
Editore: Chapman and Hall/CRC (edition 1), 2022
ISBN 10: 1032401001 ISBN 13: 9781032401003
Da: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condizione: New. 1. The item is brand new, never used or read. It's in perfect condition and may include supplements and/or access codes or come shrink-wrapped.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 56,87
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2022
ISBN 10: 1032401001 ISBN 13: 9781032401003
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 75,44
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Cybersecurity Analytics is for the cybersecurity student and professional who wants to learn data science techniques critical for tackling cybersecurity challenges, and for the data science student and professional who wants to learn about cybersecurity adaptations. Trying to build a malware detector, a phishing email detector, or just interested in finding patterns in your datasets? This book can let you do it on your own. Numerous examples and datasets links are included so that the reader can "learn by doing." Anyone with a basic college-level calculus course and some probability knowledge can easily understand most of the material. The book includes chapters containing: unsupervised learning, semi-supervised learning, supervised learning, text mining, natural language processing, and more. It also includes background on security, statistics, and linear algebra. The website for the book contains a listing of datasets, updates, and other resources for serious practitioners.
Da: Majestic Books, Hounslow, Regno Unito
EUR 69,30
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2022
ISBN 10: 1032401001 ISBN 13: 9781032401003
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Paperback. Condizione: New. Cybersecurity Analytics is for the cybersecurity student and professional who wants to learn data science techniques critical for tackling cybersecurity challenges, and for the data science student and professional who wants to learn about cybersecurity adaptations. Trying to build a malware detector, a phishing email detector, or just interested in finding patterns in your datasets? This book can let you do it on your own. Numerous examples and datasets links are included so that the reader can "learn by doing." Anyone with a basic college-level calculus course and some probability knowledge can easily understand most of the material. The book includes chapters containing: unsupervised learning, semi-supervised learning, supervised learning, text mining, natural language processing, and more. It also includes background on security, statistics, and linear algebra. The website for the book contains a listing of datasets, updates, and other resources for serious practitioners.
Lingua: Inglese
Editore: Chapman and Hall/CRC 2022-08-29, 2022
ISBN 10: 1032401001 ISBN 13: 9781032401003
Da: Chiron Media, Wallingford, Regno Unito
EUR 61,48
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 66,68
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 65,01
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Da: Revaluation Books, Exeter, Regno Unito
EUR 75,40
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 356 pages. 10.00x7.00x0.79 inches. In Stock.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 81,81
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 94,04
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 356 pages. 10.00x7.00x0.79 inches. In Stock.
Lingua: Inglese
Editore: Springer Publishing Company, New York, 2001
ISBN 10: 0387952810 ISBN 13: 9780387952819
Da: Boards & Wraps, Baltimore, MD, U.S.A.
Prima edizione
Hardcover. Condizione: Near Fine. Condizione sovraccoperta: No Dust Jacket. First Edition; First Printing. Name in ink on front pastedown, else Near Fine.; Information Science And Statistics; 8vo 8" - 9" tall; 333 pages.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 118,39
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 69,86
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. Rakesh Verma is a professor of computer science at the University of Houston where he is leading a research group that applies reasoning and data science to cybersecurity challenges. He teaches a course on security analytics that include.
Da: CSG Onlinebuch GMBH, Darmstadt, Germania
EUR 24,65
Quantità: 1 disponibili
Aggiungi al carrelloGebunden. Condizione: Gut. Gebraucht - Gut Verlagsmängelex., XVII, 332 p. 70 illus This book covers the basic statistical and analytical techniques of computer intrusion detection. It is aimed at both statisticians looking to become involved in the data analysis aspects of computer security and computer scientists looking to expand their toolbox of techniques for detecting intruders. The book is self-contained, assumng no expertise in either computer security or statistics. It begins with a description of the basics of TCP/IP, followed by chapters dealing with network traffic analysis, network monitoring for intrusion detection, host based intrusion detection, and computer viruses and other malicious code. Each section develops the necessary tools as needed. There is an extensive discussion of visualization as it relates to network data and intrusion detection. The book also contains a large bibliography covering the statistical, machine learning, and pattern recognition literature related to network monitoring and intrusion detection. David Marchette is a scientist at the Naval Surface Warfacre Center in Dalhgren, Virginia. He has worked at Navy labs for 15 years, doing research in pattern recognition, computational statistics, and image analysis. He has been a fellow by courtesy in the mathematical sciences department of the Johns Hopkins University since 2000. He has been working in conputer intrusion detection for several years, focusing on statistical methods for anomaly detection and visualization. Dr. Marchette received a Masters in Mathematics from the University of California, San Diego in 1982 and a Ph.D. in Computational Sciences and Informatics from George Mason University in 1996. For Practitioners, researchers, graduate students.
hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2022
ISBN 10: 1032401001 ISBN 13: 9781032401003
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
Paperback. Condizione: New. Cybersecurity Analytics is for the cybersecurity student and professional who wants to learn data science techniques critical for tackling cybersecurity challenges, and for the data science student and professional who wants to learn about cybersecurity adaptations. Trying to build a malware detector, a phishing email detector, or just interested in finding patterns in your datasets? This book can let you do it on your own. Numerous examples and datasets links are included so that the reader can "learn by doing." Anyone with a basic college-level calculus course and some probability knowledge can easily understand most of the material. The book includes chapters containing: unsupervised learning, semi-supervised learning, supervised learning, text mining, natural language processing, and more. It also includes background on security, statistics, and linear algebra. The website for the book contains a listing of datasets, updates, and other resources for serious practitioners.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 115,52
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 130,92
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 115,51
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 134,84
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 124,03
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 125,25
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Condizione: New. pp. 352.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2022
ISBN 10: 1032401001 ISBN 13: 9781032401003
Da: Rarewaves.com UK, London, Regno Unito
EUR 70,73
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Cybersecurity Analytics is for the cybersecurity student and professional who wants to learn data science techniques critical for tackling cybersecurity challenges, and for the data science student and professional who wants to learn about cybersecurity adaptations. Trying to build a malware detector, a phishing email detector, or just interested in finding patterns in your datasets? This book can let you do it on your own. Numerous examples and datasets links are included so that the reader can "learn by doing." Anyone with a basic college-level calculus course and some probability knowledge can easily understand most of the material. The book includes chapters containing: unsupervised learning, semi-supervised learning, supervised learning, text mining, natural language processing, and more. It also includes background on security, statistics, and linear algebra. The website for the book contains a listing of datasets, updates, and other resources for serious practitioners.