Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 176,56
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 193,77
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 176,55
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 199,01
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 197,89
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 230,89
Quantità: 15 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Springer International Publishing, Springer Nature Switzerland, 2019
ISBN 10: 3030139611 ISBN 13: 9783030139612
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 181,89
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a unique approach to stream data mining. Unlike the vast majority of previous approaches, which are largely based on heuristics, it highlights methods and algorithms that are mathematically justified. First, it describes how to adapt static decision trees to accommodate data streams; in this regard, new splitting criteria are developed to guarantee that they are asymptotically equivalent to the classical batch tree. Moreover, new decision trees are designed, leading to the original concept of hybrid trees. In turn, nonparametric techniques based on Parzen kernels and orthogonal series are employed to address concept drift in the problem of non-stationary regressions and classification in a time-varying environment. Lastly, an extremely challenging problem that involves designing ensembles and automatically choosing their sizes is described and solved. Given its scope, the book is intended for a professional audience of researchers and practitioners who dealwith stream data, e.g. in telecommunication, banking, and sensor networks.
Da: Revaluation Books, Exeter, Regno Unito
EUR 275,78
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 330 pages. 9.50x6.50x0.75 inches. In Stock.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 261,13
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: New. New. book.
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 142,27
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing, 2019
ISBN 10: 3030139611 ISBN 13: 9783030139612
Da: moluna, Greven, Germania
EUR 153,73
Quantità: Più di 20 disponibili
Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a unique and innovative approach to stream data miningUnlike the vast majority of previous approaches, which are largely based on heuristics, it highlights methods and algorithms that are mathematically justifiedIs intended for a pr.
Lingua: Inglese
Editore: Springer International Publishing Mrz 2019, 2019
ISBN 10: 3030139611 ISBN 13: 9783030139612
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 181,89
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a unique approach to stream data mining. Unlike the vast majority of previous approaches, which are largely based on heuristics, it highlights methods and algorithms that are mathematically justified. First, it describes how to adapt static decision trees to accommodate data streams; in this regard, new splitting criteria are developed to guarantee that they are asymptotically equivalent to the classical batch tree. Moreover, new decision trees are designed, leading to the original concept of hybrid trees. In turn, nonparametric techniques based on Parzen kernels and orthogonal series are employed to address concept drift in the problem of non-stationary regressions and classification in a time-varying environment. Lastly, an extremely challenging problem that involves designing ensembles and automatically choosing their sizes is described and solved. Given its scope, the book is intended for a professional audience of researchers and practitioners who dealwith stream data, e.g. in telecommunication, banking, and sensor networks. 340 pp. Englisch.
Lingua: Inglese
Editore: Springer International Publishing, Springer Nature Switzerland Mär 2019, 2019
ISBN 10: 3030139611 ISBN 13: 9783030139612
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 181,89
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a unique approach to stream data mining. Unlike the vast majority of previous approaches, which are largely based on heuristics, it highlights methods and algorithms that are mathematically justified. First, it describes how to adapt static decision trees to accommodate data streams; in this regard, new splitting criteria are developed to guarantee that they are asymptotically equivalent to the classical batch tree. Moreover, new decision trees are designed, leading to the original concept of hybrid trees. In turn, nonparametric techniques based on Parzen kernels and orthogonal series are employed to address concept drift in the problem of non-stationary regressions and classification in a time-varying environment. Lastly, an extremely challenging problem that involves designing ensembles and automatically choosing their sizes is described and solved. Given its scope, the book is intended for a professional audience of researchers and practitioners who dealwith stream data, e.g. in telecommunication, banking, and sensor networks.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 340 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 250,19
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 249,13
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.