Principles of Data Mining and Knowledge Discovery 5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001 Proceedings
Description
This book constitutes the refereed proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery, PKDD 2001, held in Freiburg, Germany, in September 2001.
The 40 revised full papers presented together with four invited contributions were carefully reviewed and selected from close to 100 submissions. Among the topics addressed are hidden Markov models, text summarization, supervised learning, unsupervised learning, demographic data analysis, phenotype data mining, spatio-temporal clustering, Web-usage analysis, association rules, clustering algorithms, time series analysis, rule discovery, text categorization, self-organizing maps, filtering, reinforcemant learning, support vector machines, visual data mining, and machine learning.
The 40 revised full papers presented together with four invited contributions were carefully reviewed and selected from close to 100 submissions. Among the topics addressed are hidden Markov models, text summarization, supervised learning, unsupervised learning, demographic data analysis, phenotype data mining, spatio-temporal clustering, Web-usage analysis, association rules, clustering algorithms, time series analysis, rule discovery, text categorization, self-organizing maps, filtering, reinforcemant learning, support vector machines, visual data mining, and machine learning.
Keywords
ComputersIntelligence (AI) & SemanticsInformation TheoryDatabasesBusiness & EconomicsInformation ManagementSystem AdministrationStorage & RetrievalDocument ManagementSoftware Development & EngineeringProgrammingAlgorithmsBusiness MathematicsDesktop ApplicationsDesktop PublishingDesign, Graphics & MediaGraphics Tools
2001Book
Author(s)Arno Siebes
PublisherSpringer Science & Business Media
ISBN9783540425342
LanguageEnglish
