Electronic Resource

Pocket Data Mining: Big Data on Small Devices

---

Penilaian

---

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.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
1408000502	EB0001601	006.312 Sta p	Central Library (OPAC)	Available

Detail Information

Series Title

Studies in Big Data

Call Number

006.312 Sta p

Publisher

Switzerland : Springer Cham., 2013

Collation

ix, 108p.: Ill.

Language

English

ISBN/ISSN

978-3-319-02711-1

Classification

006.312

Content Type

-

Media Type

-

Carrier Type

-

Edition

1

Subject(s)

Data mining

Specific Detail Info

-

Statement of Responsibility

RIZAL

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment