Download the fantastic book titled Pocket Data Mining written by Mohamed Medhat Gaber, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Pocket Data Mining", which was released on 19 October 2013. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.
Summary of Pocket Data Mining by Mohamed Medhat Gaber PDF
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.
Detail About Pocket Data Mining PDF
- Author : Mohamed Medhat Gaber
- Publisher : Springer Science & Business Media
- Genre : Technology & Engineering
- Total Pages : 108 pages
- ISBN : 3319027115
- Release Date : 19 October 2013
- PDF File Size : 35,9 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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