Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/72084

TítuloClickstream data mining assistance - A case-based reasoning task model
Autor(es)Wanzeller, Cristina
Belo, Orlando
Palavras-chaveWeb usage mining
Case-based reasoning
Processing model
Clickstream data mining assistance
Data2006
EditoraInstitute for Systems and Technologies of Information, Control and Communication (INSTICC)
Resumo(s)This paper presents a case-based reasoning system to assist users in knowledge discovery from clickstream data. The system is especially oriented to store and make use of the knowledge acquired from the experience in solving specific clickstream data mining problems inside a corporate environment. We describe the main design, implementation and characteristics of this system. It was implemented as a prototype Web-based application, centralizing the past mining processes in a corporative memory. Its main goal is to recommend the most suited mining strategies to address the problem at hand, accepting as inputs the characteristics of the available data and the analysis requirements. The system also takes advantage and integrates corporative related information resources, supporting a semi-automated data gathering approach.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/72084
ISBN9728865694
Arbitragem científicayes
AcessoAcesso restrito UMinho
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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