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    Grid-based Data Mining in Real-life Business Scenario

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    This paper presents a Grid-based distributed and parallel data mining system targeting a real-life application scenario typical in the business realm – franchise supermarket basket analysis. Following a layered design of three tiers, this system enables parallel association rule mining on a farm of Grid servers, offers a standard service interface for custom applications, and provides a friendly user portal. The work presented in this paper reveals specific requirements for applying Grid-based data mining in the business realm, which is helpful for the design and implementation of a generic Grid-based data mining system. 1
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