Visualisation of Fuzzy Classification of Data Elements in Ubiquitous Data Stream Mining

Abstract

Ubiquitous data mining (UDM) allows data mining operations to be performed on continuous data streams using resource limited devices. Visualisation is an essential tool to assist users in understanding and interpreting data mining results and to aide the user in directing further mining operations. However, there are currently no on-line real-time visualisation tools to complement the UDM algorithms. In this paper we investigate the use of visualisation techniques, within an on-line real-time visualisation framework, in order to enhance UDM result interpretation on handheld devices. We demonstrate a proof of concept implementation for visualising degree of membership of data elements to clusters produced using fuzzy logic algorithms.