ENGLISH

Principles of Data Mining and Knowledge Discovery: 5th European Conference, PKDD 2001, Freiburg, Germany, September 3–5, 2001 Proceedings

By Luc De Raedt , Jafar Adibi , Wei-Min Shen (auth.) , Arno Siebes (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2001
ISBN
978-3-540-42534-2, 978-3-540-44794-8
DOI
10.1007/3-540-44794-6
Language
english
Format
PDF
Filesize
11 MB (11327450 bytes)
Series
Lecture Notes in Computer Science 2168
Edition
1
Pages
514\526
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Artificial Intelligence (incl. Robotics); Database

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.

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