Clutter-Adaptive Visualization for Mobile Data Mining

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).