Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/72084
Título: | Clickstream data mining assistance - A case-based reasoning task model |
Autor(es): | Wanzeller, Cristina Belo, Orlando |
Palavras-chave: | Web usage mining Case-based reasoning Processing model Clickstream data mining assistance |
Data: | 2006 |
Editora: | Institute 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. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/72084 |
ISBN: | 9728865694 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
2006-CI-ICSOFT-Wanzeller&Belo-CRP.pdf Acesso restrito! | 75,28 kB | Adobe PDF | Ver/Abrir |