Clutter-Adaptive Visualization for Mobile Data Mining

Author

Gillick, Brett ; AlTaiar, Hasnain ; Krishnaswamy, Shonali ; Liono, Jonathan ; Nicoloudis, Nicholas ; Sinha, Abhijat ; Zaslavsky, Arkady ; Gaber, Mohamed Medhat

Author_Institution

Centre for Distrib. Syst. & Software Eng., Monash Univ., Melbourne, VIC, Australia

fYear

2010

fDate

13-13 Dec. 2010

Firstpage

1381

Lastpage

1384

Abstract

There is an emerging focus on real-time data stream analysis on mobile devices. While many mobile data stream mining algorithms have been developed in recent times, generic and scalable visualization techniques have not been presented. This paper presents the demonstration of our innovative clutter-adaptive cluster visualization technique for mobile devices. We have fully implemented this technique on the Google Android platform and provide demonstrations for different datasets: location (both real and synthetic), and stock-market (real).

Keywords

data analysis; data mining; data visualisation; mobile computing; real-time systems; Google Android platform; clutter-adaptive visualization; generic visualization techniques; innovative clutter-adaptive cluster visualization technique; mobile data mining; mobile data stream mining algorithms; mobile devices; real-time data stream analysis; scalable visualization techniques; Mobile Data Mining; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Mining Workshops (ICDMW), 2010 IEEE International Conference on

Conference_Location

Sydney, NSW

Print_ISBN

978-1-4244-9244-2

Electronic_ISBN

978-0-7695-4257-7

Type

conf

DOI

10.1109/ICDMW.2010.134

Filename

5693458