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A parallel knowledge discovery system for customer profiling

Conference Paper
Publication Date:
2004
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 pro ject. 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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Data mining; Customer satisfaction; Knowledge Dicovery in Databases; High level parallel programming; Structured Parallel Programming; Data management; Parallel I/O
List of contributors:
Zoccolo, Corrado; Coppola, Massimo
Authors of the University:
COPPOLA MASSIMO
Handle:
https://iris.cnr.it/handle/20.500.14243/39986
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http://www.springerlink.com/content/x1j8txntc7y8/?p=b843f01af809486198ac56c58fa9304f&pi=0
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