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Internet Delivery of Distributed Data Mining Services: Architectures, Issues and Prospects

Internet Delivery of Distributed Data Mining Services: Architectures, Issues and Prospects
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Author(s): Shonali Krishnaswamy (Monash University, Australia), Arkady Zaslavsky (Monash University, Australia)and Seng Wai Loke (RMIT University, Australia)
Copyright: 2003
Pages: 15
Source title: Architectural Issues of Web-Enabled Electronic Business
Source Author(s)/Editor(s): V.K. Murthy (University of New South Wales at Australian Defence Force Academy, Australia)and Nansi Shi (University of South Australia, Australia)
DOI: 10.4018/978-1-59140-049-3.ch007

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Abstract

The recent trend of Application Service Providers (ASP) is indicative of electronic commerce diversifying and expanding to include e-services. The ASP paradigm is leading to the emergence of several Web-based data mining service providers. This chapter focuses on the architectural and technological issues in the construction of systems that deliver data mining services through the Internet. The chapter presents ongoing research and the operations of commercial data mining service providers. We evaluate different distributed data mining (DDM) architectural models in the context of their suitability to support Web-based delivery of data mining services. We present emerging technologies and standards in the e-services domain and discuss their impact on a “virtual marketplace of data mining e-services.”

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