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.
| ISBN: | 9783540425342 |
| Publication date: | 23rd August 2001 |
| Author: | Luc de Raedt, Arno Siebes |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 514 pages |
| Series: | Lecture Notes in Computer Science |
| Genres: |
Artificial intelligence Natural language and machine translation Data warehousing Information retrieval Information theory Business mathematics and systems Algorithms and data structures Databases Business applications |
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.
Principles of Data Mining and Knowledge Discovery Lecture Notes in Artificial Intelligence features in the following genres: Artificial intelligence, Natural language and machine translation, Data warehousing, Information retrieval, Information theory, Business mathematics and systems, Algorithms and data structures, Databases, Business applications
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Principles of Data Mining and Knowledge Discovery Lecture Notes in Artificial Intelligence was written by Luc de Raedt, Arno Siebes and published by Springer an imprint of Springer Berlin Heidelberg
Principles of Data Mining and Knowledge Discovery Lecture Notes in Artificial Intelligence has 514 pages
Yes it is part of Lecture Notes in Computer Science series