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.
Gaber / Stahl / Gomes
Pocket Data Mining jetzt bestellen!
Weitere Infos & Material
Pocket Data Mining Framework.- Implementation of Pocket Data Mining.- Context-aware PDM(Coll-Stream).- Experimental Validation of Context-aware PDM.- Potential Applications of Pocket Data Mining.- Conclusions, Discussion and Future Directions.