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A KDD Platform Based on the Application Service Provider Paradigm

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3 Author(s)
Fumarola, F. ; Dipt. di Inf., Univ. degli Studi di Bari, Bari ; Salvemini, E. ; Malerba, D.

Nowadays, small and medium enterprises (SMEs) are forced to compete on a global market and to make strategic decisions in short periods of time. In order to allow SMEs access to information technologies which can support their competition on a global scale, public administrations are fostering the setting up of digital districts. In this paper, we describe a distributed collaborative data mining platform, named KD-ASP, developed for a digital district. It is based on the application service provider (ASP) paradigm, which allows SMEs accessing to data mining services over a network and to cut down costs for their acquisition, upgrading and maintenance. KD-ASP allows the users to collaborate on the design of a knowledge discovery process whose execution is then demanded to a workflow engine. Tasks involved in a process are classified as data selection, pre-processing, data transformation, data mining and data visualization, and are made available as Web services.

Published in:

Data Mining Workshops, 2008. ICDMW '08. IEEE International Conference on

Date of Conference:

15-19 Dec. 2008

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