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 S AIB 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. © Springer-Verlag 2004.
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CITATION STYLE
Coppola, M., Pesciullesi, P., Ravazzolo, R., & Zoccolo, C. (2004). A parallel knowledge discovery system for customer profiling. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3149, 381–390. https://doi.org/10.1007/978-3-540-27866-5_49
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