Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
EUR 21,00
Quantità: 3 disponibili
Aggiungi al carrelloXV, 123 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Springer Theses. Recognizing Oustanding Ph.D. Research. Sprache: Englisch.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 164,69
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 196,32
Quantità: 15 disponibili
Aggiungi al carrelloCondizione: New.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 167,14
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes advanced machine learning models - such as temporal collaborative filtering, stochastic models and Bayesian nonparametrics - for analysing customer behaviour. It shows how they are used to track changes in customer behaviour, monitor the evolution of customer groups, and detect various factors, such as seasonal effects and preference drifts, that may influence customers' purchasing behaviour. In addition, the book presents four case studies conducted with data from a supermarket health program in which the customers were segmented and the impact of promotional activities on different segments was evaluated. The outcomes confirm that the models developed here can be used to effectively analyse dynamic behaviour and increase customer engagement. Importantly, the methods introduced here can also be used to analyse other types of behavioural data such as activities on social networks, and educational systems.
Da: Revaluation Books, Exeter, Regno Unito
EUR 237,14
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 140 pages. 9.25x6.10x0.47 inches. In Stock.
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 126,26
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing Mai 2019, 2019
ISBN 10: 3030182886 ISBN 13: 9783030182885
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 160,49
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes advanced machine learning models - such as temporal collaborative filtering, stochastic models and Bayesian nonparametrics - for analysing customer behaviour. It shows how they are used to track changes in customer behaviour, monitor the evolution of customer groups, and detect various factors, such as seasonal effects and preference drifts, that may influence customers' purchasing behaviour. In addition, the book presents four case studies conducted with data from a supermarket health program in which the customers were segmented and the impact of promotional activities on different segments was evaluated. The outcomes confirm that the models developed here can be used to effectively analyse dynamic behaviour and increase customer engagement. Importantly, the methods introduced here can also be used to analyse other types of behavioural data such as activities on social networks, and educational systems. 140 pp. Englisch.
Lingua: Inglese
Editore: Springer International Publishing, 2019
ISBN 10: 3030182886 ISBN 13: 9783030182885
Da: moluna, Greven, Germania
EUR 136,16
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. Nominated as an outstanding Ph.D. thesis by the University of Sydney, Australia Presents innovative machine learning techniques for modelling dynamic customer purchasing behaviour Reviews cutting-edge clustering techniques for tempor.
Lingua: Inglese
Editore: Springer, Palgrave Macmillan Mai 2019, 2019
ISBN 10: 3030182886 ISBN 13: 9783030182885
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 160,49
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book describes advanced machine learning models ¿ such as temporal collaborative filtering, stochastic models and Bayesian nonparametrics ¿ for analysing customer behaviour. It shows how they are used to track changes in customer behaviour, monitor the evolution of customer groups, and detect various factors, such as seasonal effects and preference drifts, that may influence customers¿ purchasing behaviour. In addition, the book presents four case studies conducted with data from a supermarket health program in which the customers were segmented and the impact of promotional activities on different segments was evaluated. The outcomes confirm that the models developed here can be used to effectively analyse dynamic behaviour and increase customer engagement. Importantly, the methods introduced here can also be used to analyse other types of behavioural data such as activities on social networks, and educational systems.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 140 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 223,48
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 218,28
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.