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Principles of Data Mining and Knowledge Discovery: 5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001 Proceedings (Lecture ... / Lecture Notes in Artificial Intelligence)
 
 
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Principles of Data Mining and Knowledge Discovery: 5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001 Proceedings (Lecture ... / Lecture Notes in Artificial Intelligence) [Paperback]


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Book Description

October 2, 2001 3540425349 978-3540425342 1
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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Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
progressive boosting, extended moving average method, standard progressive sampling, gini gain, iterative aggregate, local time window, being fuzzified, second mutation rate, progressive sampling technique, fuzzy association rules, expressive music performance, multiscale matching, regression tree modeling, flower node, sampling iterations, discrete median, combinatorial signals, simple evolutionary algorithm, active voxels, membership function definitions, gradual rules, most interesting rules, interestingness measures, least common subsumer, support deviation
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Springer-Verlag Berlin Heidelberg, Morgan Kaufmann, New York, Department of Computer Science, Management of Data, European Conference, Challenge Problem, Lecture Notes, Academic Press, Collision Rate, San Francisco, Naive Bayes, San Diego, Springer Verlag, Very Large Data Bases, Clinical Databases, Intelligent Data Analysis, John Wiley, University of California, Bing Liu, Computational Statistics, Frequency Domain Scoring, Interesting Fuzzy Association Rules, Journal of New Music Research, Kluwer Academic Publishers
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