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Titlebook: Pocket Data Mining; Big Data on Small De Mohamed Medhat Gaber,Frederic Stahl,Jo?o Bártolo G Book 2014 Springer International Publishing Swi

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書目名稱Pocket Data Mining
副標(biāo)題Big Data on Small De
編輯Mohamed Medhat Gaber,Frederic Stahl,Jo?o Bártolo G
視頻videohttp://file.papertrans.cn/750/749541/749541.mp4
概述Introduction to "Pocket Data Mining".Describes the process of performing collaborative distributed data stream mining in the mobile computing environment.Written by experts in the field
叢書名稱Studies in Big Data
圖書封面Titlebook: Pocket Data Mining; Big Data on Small De Mohamed Medhat Gaber,Frederic Stahl,Jo?o Bártolo G Book 2014 Springer International Publishing Swi
描述.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
出版日期Book 2014
關(guān)鍵詞Collaborative Distributed Data Stream Mining; Computational Intelligence; Mobile Computing Environment
版次1
doihttps://doi.org/10.1007/978-3-319-02711-1
isbn_softcover978-3-319-34686-1
isbn_ebook978-3-319-02711-1Series ISSN 2197-6503 Series E-ISSN 2197-6511
issn_series 2197-6503
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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