Grid-based Data Mining in Real-life Business Scenario

摘要

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.