While extensive efforts have been devoted to the development of efficient ad-hoc algorithms for association rules mining, little or no interest has been paid to the integration of mining capabilities and the databases in which data of interest is stored. This paper describes AMORE, an integrated environment for the design of data mining requests and the extraction of association rules from a relational database. The adopted architecture is characterized by a tight-coupling of data mining with a classical SQL-server, that provides efficient access to operational data. The AMORE design environment provides to the end-users both a user-friendly environment and a powerful SQL-like language for the specification of data mining requests.

AMORE: an Integrated Environment for Database Mining

MEO, Rosa;
1997

Abstract

While extensive efforts have been devoted to the development of efficient ad-hoc algorithms for association rules mining, little or no interest has been paid to the integration of mining capabilities and the databases in which data of interest is stored. This paper describes AMORE, an integrated environment for the design of data mining requests and the extraction of association rules from a relational database. The adopted architecture is characterized by a tight-coupling of data mining with a classical SQL-server, that provides efficient access to operational data. The AMORE design environment provides to the end-users both a user-friendly environment and a powerful SQL-like language for the specification of data mining requests.
Atti del Quinto Convegno Nazionale Sistemi Evoluti per Basi di Dati
Verona, Italia
JUNE
Convegno Nazionale Sistemi Evoluti per Basi di Dati
-
5
285
302
http://www.informatik.uni-trier.de/~ley/db/conf/sebd/sebd1997.html
E. BARALIS; S. CERI; R. MEO; G. PSAILA; M. RICHELDI; P. RISIMINI
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/18620
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