Seller: ThriftBooks-Phoenix, Phoenix, AZ, U.S.A.
Hardcover. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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Hardcover. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Seller: Better World Books, Mishawaka, IN, U.S.A.
Condition: Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
Seller: Anybook.com, Lincoln, United Kingdom
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Add to basketCondition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9780792378150.
Seller: HPB-Red, Dallas, TX, U.S.A.
paperback. Condition: 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!
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2011
ISBN 10: 3642218210 ISBN 13: 9783642218217
Language: English
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. The two volume set LNAI 6703 and LNAI 6704 constitutes the thoroughly refereed conference proceedings of the 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011, held in Syracuse, NY, USA, in June/July 2011. The total of 92 papers selected for the proceedings were carefully reviewed and selected from 206 submissions. The papers cover a wide number of topics including feature extraction, discretization, clustering, classification, diagnosis, data refinement, neural networks, genetic algorithms, learning classifier systems, Bayesian and probabilistic methods, image processing, robotics, navigation, optimization, scheduling, routing, game theory and agents, cognition, emotion, and beliefs. The two volume set LNAI 6703 and LNAI 6704 constitutes the thoroughly refereed conference proceedings of the 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011, held in Syracuse, NY, USA, in June/July 2011. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Condition: New.
Condition: As New. Unread book in perfect condition.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Condition: New.
Published by Springer International Publishing AG, CH, 2019
ISBN 10: 331988445X ISBN 13: 9783319884455
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
£ 56.71
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Add to basketPaperback. Condition: New. 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. Softcover reprint of the original 1st ed. 2017.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: Chiron Media, Wallingford, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: The Book Spot, Sioux Falls, MN, U.S.A.
Hardcover. Condition: Fine.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: Basi6 International, Irving, TX, U.S.A.
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Seller: Chiron Media, Wallingford, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketCondition: As New. Unread book in perfect condition.
Condition: New.
Seller: Broad Street Books, Branchville, NJ, U.S.A.
hardcover. Condition: New. Brand New Book.
Condition: As New. Unread book in perfect condition.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Springer International Publishing AG, CH, 2018
ISBN 10: 3319675249 ISBN 13: 9783319675244
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
£ 78.65
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Add to basketHardback. Condition: New. 1st ed. 2017. 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.
Condition: New. pp. 140.
Published by Kluwer Academic Publishers, 2000
ISBN 10: 0792378156 ISBN 13: 9780792378150
Language: English
Seller: New Book Sale, London, United Kingdom
£ 35
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Add to basketHardcover. Condition: New. Usually Dispatched within 1-2 Business Days , Buy with confidence , excellent customer service.