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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

Shonali Krishnaswamy, Arkady Zaslavsky, Seng Wai Loke
Copyright: © 2003 |Pages: 15
ISBN13: 9781591400493|ISBN10: 159140049X|EISBN13: 9781591400813
DOI: 10.4018/978-1-59140-049-3.ch007
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MLA

Krishnaswamy, Shonali, et al. "Internet Delivery of Distributed Data Mining Services: Architectures, Issues and Prospects." Architectural Issues of Web-Enabled Electronic Business, edited by V.K. Murthy and Nansi Shi, IGI Global, 2003, pp. 114-128. https://doi.org/10.4018/978-1-59140-049-3.ch007

APA

Krishnaswamy, S., Zaslavsky, A., & Loke, S. W. (2003). Internet Delivery of Distributed Data Mining Services: Architectures, Issues and Prospects. In V. Murthy & N. Shi (Eds.), Architectural Issues of Web-Enabled Electronic Business (pp. 114-128). IGI Global. https://doi.org/10.4018/978-1-59140-049-3.ch007

Chicago

Krishnaswamy, Shonali, Arkady Zaslavsky, and Seng Wai Loke. "Internet Delivery of Distributed Data Mining Services: Architectures, Issues and Prospects." In Architectural Issues of Web-Enabled Electronic Business, edited by V.K. Murthy and Nansi Shi, 114-128. Hershey, PA: IGI Global, 2003. https://doi.org/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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