| 书目名称 | Pocket Data Mining | | 副标题 | Big Data on Small De | | 编辑 | Mohamed Medhat Gaber,Frederic Stahl,João Bártolo G | | 视频video | | | 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 | | 丛书名称 | Studies in Big Data | | 图书封面 |  | | 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 | | 关键词 | Collaborative Distributed Data Stream Mining; Computational Intelligence; Mobile Computing Environment | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-02711-1 | | isbn_softcover | 978-3-319-34686-1 | | isbn_ebook | 978-3-319-02711-1Series ISSN 2197-6503 Series E-ISSN 2197-6511 | | issn_series | 2197-6503 | | copyright | Springer International Publishing Switzerland 2014 |
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发表于 2025-3-21 18:08:11
