Abstract
We describe a parallel KDD architecture we are developing as part of an open-source based customer relationship management system, in the framework of the SAIB industrial research project. The design of the prototype, leveraging on the features of the ASSIST programming environment, results in a high-performance parallel data mining core, tightly integrated with parallel data management and interfaced to business standard technologies and systems.
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Coppola, M., Pesciullesi, P., Ravazzolo, R., Zoccolo, C. (2004). A Parallel Knowledge Discovery System for Customer Profiling. In: Danelutto, M., Vanneschi, M., Laforenza, D. (eds) Euro-Par 2004 Parallel Processing. Euro-Par 2004. Lecture Notes in Computer Science, vol 3149. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27866-5_49
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DOI: https://doi.org/10.1007/978-3-540-27866-5_49
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