Pocket Data Mining: Big Data on Small Devices - Couverture souple

Livre 2 sur 95: Studies in Big Data

Gaber, Mohamed Medhat Medhat ; Stahl, Frederic ; Gomes, Jo�o B�rtolo

9783319346861: Pocket Data Mining: Big Data on Small Devices

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ISBN 10 : 3319346865 ISBN 13 : 9783319346861

Editeur : Springer, 2016

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Owing to continuous advances in the computational power of handheld devices like smartphones and tablet computers, it has become possible to perform Big Data operations including modern data mining processes onboard these small devices. A decade of research has proved the feasibility of what has been termed as Mobile Data Mining, with a focus on one mobile device running data mining processes. However, it is not before 2010 until the authors of this book initiated the Pocket Data Mining (PDM) project exploiting the seamless communication among handheld devices performing data analysis tasks that were infeasible until recently. PDM is the process of collaboratively extracting knowledge from distributed data streams in a mobile computing environment. This book provides the reader with an in-depth treatment on this emerging area of research. Details of techniques used and thorough experimental studies are given. More importantly and exclusive to this book, the authors provide detailed practical guide on the deployment of PDM in the mobile environment. An important extension to the basic implementation of PDM dealing with concept drift is also reported. In the era of Big Data, potential applications of paramount importance offered by PDM in a variety of domains including security, business and telemedicine are discussed.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

Pr�sentation de l'�diteur

This book is a detailed practical guide to Pocket Data Mining (PDM), which exploits seamless communication among handheld devices performing data analysis tasks that were heretofore infeasible. Describes PDM applications in security, business and telemedicine.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2016
Langue: anglais
ISBN 10: 3319346865
ISBN 13: 9783319346861
Reliure: Broch�
Nombre de pages: 120
Coordonn�es du fabricant: non disponible
Personne responsable: CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

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Pocket Data Mining: Big Data on Small Devices (Studies in Big Data, 2)

Gaber, Mohamed Medhat Medhat; Stahl, Frederic; Gomes, Jo�o B�rtolo

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Pocket Data Mining

Mohamed Medhat Gaber

Edit� par Berlin Springer International Publishing Springer Aug 2016, 2016

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Owing to continuous advances in the computational power of handheld devices like smartphones and tablet computers, it has become possible to perform Big Data operations including modern data mining processes onboard these small devices. A decade of research has proved the feasibility of what has been termed as Mobile Data Mining, with a focus on one mobile device running data mining processes. However, it is not before 2010 until the authors of this book initiated the Pocket Data Mining (PDM) project exploiting the seamless communication among handheld devices performing data analysis tasks that were infeasible until recently. PDM is the process of collaboratively extracting knowledge from distributed data streams in a mobile computing environment. This book provides the reader with an in-depth treatment on this emerging area of research. Details of techniques used and thorough experimental studies are given. More importantly and exclusive to this book, the authors provide detailed practical guide on the deployment of PDM in the mobile environment. An important extension to the basic implementation of PDM dealing with concept drift is also reported. In the era of Big Data, potential applications of paramount importance offered by PDM in a variety of domains including security, business and telemedicine are discussed. 108 pp. Englisch. N� de r�f. du vendeur 9783319346861

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Pocket Data Mining

Mohamed Medhat Gaber|Frederic Stahl|Jo�o B�rtolo Gomes

Edit� par Springer International Publishing, 2016

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduction to Pocket Data Mining Describes the process of performing collaborative distributed data stream mining in the mobile computing environmentWritten by experts in the fieldOwing to continuous advances in the computati. N� de r�f. du vendeur 385703740

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Pocket Data Mining: Big Data on Small Devices (Studies in Big Data)

Gaber, Mohamed Medhat Medhat; Stahl, Frederic; Gomes, Jo�o B�rtolo

Edit� par Springer, 2016

ISBN 10 : 3319346865 ISBN 13 : 9783319346861

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Pocket Data Mining: Big Data on Small Devices (Studies in Big Data)

Gaber, Mohamed Medhat Medhat; Stahl, Frederic; Gomes, Jo�o B�rtolo

Edit� par Springer, 2016

ISBN 10 : 3319346865 ISBN 13 : 9783319346861

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Pocket Data Mining: Big Data on Small Devices (Studies in Big Data)

Gaber, Mohamed Medhat Medhat; Stahl, Frederic; Gomes, Jo�o B�rtolo

Edit� par Springer, 2016

ISBN 10 : 3319346865 ISBN 13 : 9783319346861

Neuf Couverture souple

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Pocket Data Mining | Big Data on Small Devices

Mohamed Medhat Gaber (u. a.)

Edit� par Springer, 2016

ISBN 10 : 3319346865 ISBN 13 : 9783319346861

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Pocket Data Mining : Big Data on Small Devices

Mohamed Medhat Gaber

Edit� par Springer, Berlin, Springer International Publishing, Springer, 2016

ISBN 10 : 3319346865 ISBN 13 : 9783319346861

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Owing to continuous advances in the computational power of handheld devices like smartphones and tablet computers, it has become possible to perform Big Data operations including modern data mining processes onboard these small devices. A decade of research has proved the feasibility of what has been termed as Mobile Data Mining, with a focus on one mobile device running data mining processes. However, it is not before 2010 until the authors of this book initiated the Pocket Data Mining (PDM) project exploiting the seamless communication among handheld devices performing data analysis tasks that were infeasible until recently. PDM is the process of collaboratively extracting knowledge from distributed data streams in a mobile computing environment. This book provides the reader with an in-depth treatment on this emerging area of research. Details of techniques used and thorough experimental studies are given. More importantly and exclusive to this book, the authors provide detailed practical guide on the deployment of PDM in the mobile environment. An important extension to the basic implementation of PDM dealing with concept drift is also reported. In the era of Big Data, potential applications of paramount importance offered by PDM in a variety of domains including security, business and telemedicine are discussed. N� de r�f. du vendeur 9783319346861

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