Knowledge Discovery in Databases: PKDD 2005

• Tipo: Livro de Atas de Conferência Internacional
• Data: 2005

Autores

Alípio Mário Jorge (Editor) FEP; Luis Torgo (Editor) FEP; Pavel Brazdil (Editor) FEP; Rui Camacho (Editor) FEUP; João Gama (Editor) FEP

Editora

Springer

Cham

Conferência Internacional

9th European Conference on Principles and Practice of Knowledge Discovery in Databases - PKDD 2005

Porto, Portugal, October 3-7, 2005

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

CORDIS: Ciências Físicas > Ciência de computadores > Cibernética > Inteligência artificial

Outras Informações

Resumo (PT): This book constitutes the refereed proceedings of the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2005, held in Porto, Portugal, in October 2005, jointly with ECML 2005. The 35 revised full papers and 35 revised short papers presented together with abstracts of 6 invited talks were carefully reviewed and selected from 220 papers submitted to PKDD and 30 papers submitted to both, PKDD and ECML. The papers present a wealth of new results in knowledge discovery in databases and address all current issues in the area. Content Level » Research Keywords » SVM classification - Web mining - algorithmic learning - association rule mining - bayesian learning - clustering - data analysis - data mining - decision trees - kernel methods - knowledge discovery - learning classifier systems - multi-relational data mining - pattern mining - text mining - time series analysis Related subjects » Artificial Intelligence - Database Management & Information Retrieval - Theoretical Computer Science

Abstract (EN): This book constitutes the refereed proceedings of the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2005, held in Porto, Portugal, in October 2005, jointly with ECML 2005. The 35 revised full papers and 35 revised short papers presented together with abstracts of 6 invited talks were carefully reviewed and selected from 220 papers submitted to PKDD and 30 papers submitted to both, PKDD and ECML. The papers present a wealth of new results in knowledge discovery in databases and address all current issues in the area. Content Level » Research Keywords » SVM classification - Web mining - algorithmic learning - association rule mining - bayesian learning - clustering - data analysis - data mining - decision trees - kernel methods - knowledge discovery - learning classifier systems - multi-relational data mining - pattern mining - text mining - time series analysis Related subjects » Artificial Intelligence - Database Management & Information Retrieval - Theoretical Computer Science

Idioma: Inglês

Tipo (Avaliação Docente): Científica

ISBN: 3-540-29244-6

Coleção: Lecture Notes in Computer Science

Vol.: 3721