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.

A parallel knowledge discovery system for customer profiling

Coppola M;
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.
2004
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
978-3-540-22924-7
Data mining
Customer satisfaction
Knowledge Dicovery in Databases
High level parallel programming
Structured Parallel Programming
Data management
Parallel I/O
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/39986
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