Pocket Data Mining is popular PDF and ePub book, written by Mohamed Medhat Gaber in 2013-10-19, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Pocket Data Mining can be Read Online from any device for your convenience.
Pocket Data Mining Book PDF Summary
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 Book of Pocket Data Mining PDF
- Author : Mohamed Medhat Gaber
- Release : 19 October 2013
- Publisher : Springer Science & Business Media
- ISBN : 9783319027111
- Genre : Technology & Engineering
- Total Page : 112 pages
- Language : English
- PDF File Size : 20,9 Mb
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