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Towards anytime anywhere data mining e-services
Monash University, Melbourne, VIC.
Monash University, Melbourne, VIC.
2002 (English)In: Proceedings of the Australian Data Mining Workshop (ADM'02) at the 15th Australian Joint Conference on Artificial Intelligence: Canberra, Australia, December 2002 / [ed] S.J. Simoff; G.J. Williams; M. Hegland, Sydney University of Technology , 2002, p. 47-56Conference paper, Published paper (Refereed)
Abstract [en]

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 enviroments charachterised by ad-hoc task requests and the need for results anytime anywhere. The proliferation of handheld devices and wireless technologies pose new challenges and provide new opportunities for the analysis of data and teh 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. 

Place, publisher, year, edition, pages
Sydney University of Technology , 2002. p. 47-56
Keywords [en]
Data Mining Services, Mobile Devices, Pervasive and Ubiquitous Enviroments
Identifiers
URN: urn:nbn:se:ltu:diva-29728Local ID: 34b85510-da40-11dc-b464-000ea68e967bISBN: 0975007505 (print)Archive number: Australian Joint Conference on Artificial IntelligenceOAI: oai:DiVA.org:ltu-29728DiVA, id: diva2:1002954
Conference
Australian Joint Conference on Artificial Intelligence : 17/12/2002
Note

Upprättat; 2002; 20080213 (ysko)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2020-01-16Bibliographically approved

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Zaslavsky, Arkady

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CiteExportLink to record
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Output format
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