Lingua: Inglese
Editore: Bentham Science Publishers, 2024
ISBN 10: 9815313045 ISBN 13: 9789815313048
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 57,32
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Amazon Digital Services LLC - Kdp, 2024
ISBN 10: 9815313045 ISBN 13: 9789815313048
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 79,99
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Federated Learning Based Intelligent Systems to Handle Issues and Challenges in IoVs (Part 1) examines how federated learning can address key challenges within the Internet of Vehicles, from data security to routing efficiency. This volume explores how federated learning, a decentralized approach to machine learning, enables secure and adaptive IoV systems that enhance road safety, optimize traffic flow, and support reliable data sharing.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848438755 ISBN 13: 9783848438754
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 120,13
Quantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Bentham Science Publishers, 2024
ISBN 10: 9815313045 ISBN 13: 9789815313048
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 166,51
Quantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Amazon Digital Services LLC - Kdp, 2024
ISBN 10: 9815313045 ISBN 13: 9789815313048
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 61,41
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Amazon Digital Services LLC - Kdp, 2024
ISBN 10: 9815313045 ISBN 13: 9789815313048
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 57,94
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Mrz 2012, 2012
ISBN 10: 3848438755 ISBN 13: 9783848438754
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 49,00
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The present study aimed to do the performance analysis of several data mining classification techniques using three different machine learning tools over the healthcare datasets. In this study, different data mining classification techniques have been tested on four different healthcare datasets. The standards used are percentage of accuracy and error rate of every applied classification technique. The experiments are done using the 10 fold cross validation method. A suitable technique for a particular dataset is chosen based on highest classification accuracy and least error rate. 76 pp. Englisch.
Lingua: Inglese
Editore: Amazon Digital Services LLC - Kdp, 2025
ISBN 10: 9815324713 ISBN 13: 9789815324716
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 76,32
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Amazon Digital Services LLC - Kdp, 2025
ISBN 10: 9815324713 ISBN 13: 9789815324716
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 72,83
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848438755 ISBN 13: 9783848438754
Da: moluna, Greven, Germania
EUR 41,05
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gupta ShellyShelly Gupta has done B.Tech. in IT from GJUS&T, India in 2009 & M.Tech. in CSE from Banasthali University, India in 2011. She has published 3 research papers at National /Intl level with 1 yr exp. in research. Her intere.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Mär 2012, 2012
ISBN 10: 3848438755 ISBN 13: 9783848438754
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 49,00
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The present study aimed to do the performance analysis of several data mining classification techniques using three different machine learning tools over the healthcare datasets. In this study, different data mining classification techniques have been tested on four different healthcare datasets. The standards used are percentage of accuracy and error rate of every applied classification technique. The experiments are done using the 10 fold cross validation method. A suitable technique for a particular dataset is chosen based on highest classification accuracy and least error rate.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848438755 ISBN 13: 9783848438754
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 49,00
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The present study aimed to do the performance analysis of several data mining classification techniques using three different machine learning tools over the healthcare datasets. In this study, different data mining classification techniques have been tested on four different healthcare datasets. The standards used are percentage of accuracy and error rate of every applied classification technique. The experiments are done using the 10 fold cross validation method. A suitable technique for a particular dataset is chosen based on highest classification accuracy and least error rate.