Characterization of Classification Algorithms

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 1995

Autores

João Gama (Autor) FEP; Pavel Brazdil (Autor) FEP

Ata de Conferência Internacional

Título: Progress in Artificial Intelligence, 7th Portuguese Conference on Artificial Intelligence, EPIA '95, Funchal, Madeira Island, Portugal, October 3-6, 1995, Proceedings

Páginas: 189-200

Indexação

Scopus - 85 Citações

Outras Informações

ID Authenticus: P-008-KXY

DOI: 10.1007/3-540-60428-6_16

Abstract (EN): This paper is concerned with the problem of characterization of classification algorithms. The aim is to determine under what circumstances a particular classification algorithm is applicable. The method used involves generation of different kinds of models. These include regression and rule models, piecewise linear models (model trees) and instance based models. These are generated automatically on the basis of dataset characteristics and given test results. The lack of data is compensated for by various types of preprocessing. The models obtained are characterized by quantifying their predictive capability and the best models are identified. © Springer-Verlag Berlin Heidelberg 1995.

Idioma: Inglês

Tipo (Avaliação Docente): Científica