Grid-based Data Mining in Real-life Business Scenario

Authors:
Tianchao Li;Toni Bollinger;Nikolaus Breuer;Hans-Dieter Wehle
Affiliations:
Technische Universität München, Germany;IBM Development Laboratory Böblingen, Germany;IBM Development Laboratory Böblingen, Germany;IBM Development Laboratory Böblingen, Germany
Venue:
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Year:
2004

Citing 4
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Abstract

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.