Generalizing Knowledge in Decentralized Rule-Based Models

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2018

Autores

Pedro Strecht (Autor) REIT; João Mendes Moreira (Autor) FEUP; Carlos Soares (Autor) FEUP

Ata de Conferência Internacional

Título: ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers

Páginas: 29-36

Indexação

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00Q-9FR

DOI: 10.1007/978-3-030-14880-5_3

Abstract (EN): Knowledge generalization of ruled-based models, such as decision trees or decision rules, have emerged from different backgrounds. This particular kind of models, given their interpretability, offer several possibilities to be combined. Despite each distinct context, common patterns have emerged revealing the systemic nature of the problem. In this paper, we look at the problem of generalizing the knowledge contained in a set of models as a process formalizing the operations that can be addressed in alternative ways. We also include a set-up to evaluate gen-eralized models based on their ability to replace the base ones from a predictive performance perspective, without loss of interpretability.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8