Knowledge Discovery in Databases: PKDD 2005

• Type: International Conference Proceedings Book
• Date: 2005

Authors

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

Publisher

Springer

Cham

Conference International

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

Porto, Portugal, October 3-7, 2005

Scientific classification

FOS: Natural sciences > Computer and information sciences

CORDIS: Physical sciences > Computer science > Cybernetics > Artificial intelligence

Other information

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

Language: English

Type (Professor's evaluation): Scientific

ISBN: 3-540-29244-6

Collection: Lecture Notes in Computer Science

Vol.: 3721