TOWARDS ANYTIME ANYWHERE DATA MINING E-SERVICES

Shonali Krishnaswamy, Seng Wai Loke and Arkady Zaslavsky
Monash University

Abstract

The term mobile data mining is becoming prevalent as a consequence of research and development in mining data streams from mobile devices. On another strand of development Application Service Providers (ASP) hosting Internet-based data mining services is being seen as a viable alternative for organisations that value their knowledge resources but are constrained by the high cost of data mining software. This paper advocates the paradigm of anytime anywhere data mining services to facilitate delivery of data mining as a service in pervasive environments characterised by ad-hoc task requests and need for almost-immediate results. The proliferation of handheld devices and wireless technologies pose new challenges and provide new opportunities for the analysis of data and the delivery of results. We review the current state-of-the-art in data mining ASPs in the commercial domain and discuss our research in enabling a virtual community of data mining e-services. We evaluate the benefits and discuss the issues and challenges in enabling anytime anywhere data mining services.