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
Inglese
Danelutto Marco, Vanneschi Marco, Laforenza Domenico
Euro-Par 2004 Parallel Processing 10th International Euro-Par Conference
381
390
10
978-3-540-22924-7
http://www.springerlink.com/content/x1j8txntc7y8/?p=b843f01af809486198ac56c58fa9304f&pi=0
Springer-Verlag - Berlin Heidelberg New York
Berlin
GERMANIA
Sì, ma tipo non specificato
31 August -03 September 2004
Pisa, Italy
Data mining
Customer satisfaction
Knowledge Dicovery in Databases
High level parallel programming
Structured Parallel Programming
Data management
Parallel I/O
IF: 0,513
1
restricted
Coppola M.; Pesciullesi P.; Ravazzolo R.; Zoccolo C.
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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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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