One of the most important operations involving Data Mining patterns is computing their similarity. In this paper we present a general framework for comparing both simple and complex patterns, i.e., patterns built up from other patterns. Major features of our framework include the notion of structure and measure similarity, the possibility of managing multiple coupling types and ag-gregation logics, and the recursive definition of similarity for complex patterns.

Bartolini I, Ciaccia P, Ntoutsi I, Patella M, Theodoridis Y. (2004). A Unified and Flexible Framework for Comparing Simple and Complex Patterns. BERLIN : Springer.

A Unified and Flexible Framework for Comparing Simple and Complex Patterns

BARTOLINI, ILARIA;CIACCIA, PAOLO;PATELLA, MARCO;
2004

Abstract

One of the most important operations involving Data Mining patterns is computing their similarity. In this paper we present a general framework for comparing both simple and complex patterns, i.e., patterns built up from other patterns. Major features of our framework include the notion of structure and measure similarity, the possibility of managing multiple coupling types and ag-gregation logics, and the recursive definition of similarity for complex patterns.
2004
Knowledge Discovery in Databases: PKDD 2004
496
499
Bartolini I, Ciaccia P, Ntoutsi I, Patella M, Theodoridis Y. (2004). A Unified and Flexible Framework for Comparing Simple and Complex Patterns. BERLIN : Springer.
Bartolini I; Ciaccia P; Ntoutsi I; Patella M; Theodoridis Y.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/12570
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