Utilize este identificador para referenciar este registo: http://hdl.handle.net/1822/54560

TítuloSimilarity assessment in a cbr application for clickstream data mining plans selection
Autor(es)Wanzeller, Cristina
Belo, Orlando
Palavras-chaveCase based reasoning and similarity measures
Clickstream data mining assistance
Web usage mining
Data2007
Resumo(s)We implemented a mining plans selection system founded on the Case Based Reasoning paradigm, in order to assist the development of Web usage mining processes. The system's main goal is to suggest the most suited methods to apply on a data analysis problem. Our approach builds upon the reuse of the experience gained from prior successfully mining processes, to solve current and future similar problems. The knowledge acquired after successfully solving such problems is organized and stored in a relational case base, giving rise to a (multi-) relational cases representation. In this paper we describe the similitude assessment devised within the retrieval of similar cases, to cope with the adopted representation. Structured representation and similarity assessment over complex data are issues relevant to a growing variety of application domains, being considered in multiple related lines of active research. We explore a number of different similarity measures proposed in the literature and we extend one of them to better fit our purposes.
TipoconferencePaper
URIhttp://hdl.handle.net/1822/54560
Arbitragem científicayes
AcessorestrictedAccess
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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