In this paper, we introduce ClustCube, an innovative OLAP-based framework for clustering and mining complex database objects extracted from distributed database settings. To this end, ClustCube puts together conventional clustering techniques and well-consolidated OLAP methodologies in order to achieve higher expressive power and mining effectiveness over traditional methodologies for mining tuple-oriented information. Copyright (c) 2012 - Edizioni Libreria Progetto and the authors.

Integrating clustering techniques and OLAP methodologies: The ClustCube approach

Cuzzocrea Alfredo;
2012

Abstract

In this paper, we introduce ClustCube, an innovative OLAP-based framework for clustering and mining complex database objects extracted from distributed database settings. To this end, ClustCube puts together conventional clustering techniques and well-consolidated OLAP methodologies in order to achieve higher expressive power and mining effectiveness over traditional methodologies for mining tuple-oriented information. Copyright (c) 2012 - Edizioni Libreria Progetto and the authors.
2012
Inglese
Twentieth Italian Symposium on Advanced Database Systems, SEBD 2012, Venice, Italy, June 24-27, 2012, Proceedings
SEBD 2012
257
263
9788896477236
http://www.scopus.com/record/display.url?eid=2-s2.0-84873604444&origin=inward
Sì, ma tipo non specificato
1
none
Cuzzocrea, Alfredo; Serafino, Paolo
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/20.500.14243/287614
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