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Pocket Data Book

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Pocket Data Book Usa

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Author : United States. Bureau of the Census
language : en
Publisher:
Release Date : 1967

Pocket Data Book Usa written by United States. Bureau of the Census and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1967 with United States categories.

Pocket Data Book

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Author : Washington State Data Processing Authority
language : en
Publisher:
Release Date : 1985

Pocket Data Book written by Washington State Data Processing Authority and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Electronic data processing categories.

Pocket Data Book Usa 1971

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Author : U.S. Bureau of the Census
language : en
Publisher:
Release Date : 1971

Pocket Data Book Usa 1971 written by U.S. Bureau of the Census and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with categories.

Pocket Data Book

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Author : Crucible Steel Company of America
language : en
Publisher:
Release Date : 1959

Pocket Data Book written by Crucible Steel Company of America and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1959 with Steel categories.

Pocket Data Book Usa

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Author : United States. Bureau of the Census
language : en
Publisher:
Release Date : 1979

Pocket Data Mining

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Author : Mohamed Medhat Gaber
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-10-19

Pocket Data Mining written by Mohamed Medhat Gaber and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-19 with Technology & Engineering categories.

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.