Da: SpringBooks, Berlin, Germania
Prima edizione
EUR 35,63
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Aggiungi al carrelloHardcover. Condizione: Very Good. 1. Auflage. unread, cover with shelfwear or minor damages.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 178,05
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 178,03
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 179,83
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Da: Best Price, Torrance, CA, U.S.A.
EUR 174,27
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Editore: Springer International Publishing, Springer Nature Switzerland, 2019
ISBN 10: 3030051250 ISBN 13: 9783030051259
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 192,59
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book, drawing on recent literature, highlights several methodologies for the detection of outliers and explains how to apply them to solve several interesting real-life problems. The detection of objects that deviate from the norm in a data set is an essential task in data mining due to its significance in many contemporary applications. More specifically, the detection of fraud in e-commerce transactions and discovering anomalies in network data have become prominent tasks, given recent developments in the field of information and communication technologies and security. Accordingly, the book sheds light on specific state-of-the-art algorithmic approaches such as the community-based analysis of networks and characterization of temporal outliers present in dynamic networks. It offers a valuable resource for young researchers working in data mining, helping them understand the technical depth of the outlier detection problem and devise innovative solutions to address related challenges.
Editore: Springer International Publishing, Springer Nature Switzerland Jan 2019, 2019
ISBN 10: 3030051250 ISBN 13: 9783030051259
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 192,59
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware -This book, drawing on recent literature, highlights several methodologies for the detection of outliers and explains how to apply them to solve several interesting real-life problems. The detection of objects that deviate from the norm in a data set is an essential task in data mining due to its significance in many contemporary applications. More specifically, the detection of fraud in e-commerce transactions and discovering anomalies in network data have become prominent tasks, given recent developments in the field of information and communication technologies and security. Accordingly, the book sheds light on specific state-of-the-art algorithmic approaches such as the community-based analysis of networks and characterization of temporal outliers present in dynamic networks. It offers a valuable resource for young researchers working in data mining, helping them understand the technical depth of the outlier detection problem and devise innovative solutions to address related challenges.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 236 pp. Englisch.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 196,39
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 197,21
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Da: California Books, Miami, FL, U.S.A.
EUR 208,03
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 183,93
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EUR 250,33
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Da: Revaluation Books, Exeter, Regno Unito
EUR 271,37
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Aggiungi al carrelloHardcover. Condizione: Brand New. 214 pages. 9.50x6.25x0.75 inches. In Stock.
Editore: Springer International Publishing, 2019
ISBN 10: 3030051250 ISBN 13: 9783030051259
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 162,51
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive survey of the outlier detection problem including a list of issues, challenges and relevant literaturePresents the latest methods for outlier detection with a special focus on categorical data Employs outlier.
Editore: Springer International Publishing, Springer Nature Switzerland Jan 2019, 2019
ISBN 10: 3030051250 ISBN 13: 9783030051259
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 192,59
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book, drawing on recent literature, highlights several methodologies for the detection of outliers and explains how to apply them to solve several interesting real-life problems. The detection of objects that deviate from the norm in a data set is an essential task in data mining due to its significance in many contemporary applications. More specifically, the detection of fraud in e-commerce transactions and discovering anomalies in network data have become prominent tasks, given recent developments in the field of information and communication technologies and security. Accordingly, the book sheds light on specific state-of-the-art algorithmic approaches such as the community-based analysis of networks and characterization of temporal outliers present in dynamic networks. It offers a valuable resource for young researchers working in data mining, helping them understand the technical depth of the outlier detection problem and devise innovative solutions to address related challenges. 236 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 263,95
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 270,85
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