Principles of Data Mining and Knowledge Discovery / Lecture Notes in Computer Science Bd.2168 (PDF)
5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001 Proceedings
(Sprache: Englisch)
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...
The 40 revised full papers presented together with four invited...
sofort als Download lieferbar
eBook (pdf)
98.99 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Principles of Data Mining and Knowledge Discovery / Lecture Notes in Computer Science Bd.2168 (PDF)“
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.
Bibliographische Angaben
- 2003, 2001, 514 Seiten, Englisch
- Herausgegeben: Luc de Raedt, Arno Siebes
- Verlag: Springer Berlin Heidelberg
- ISBN-10: 3540447946
- ISBN-13: 9783540447948
- Erscheinungsdatum: 30.06.2003
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 10 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kommentar zu "Principles of Data Mining and Knowledge Discovery / Lecture Notes in Computer Science Bd.2168"
Schreiben Sie einen Kommentar zu "Principles of Data Mining and Knowledge Discovery / Lecture Notes in Computer Science Bd.2168".
Kommentar verfassen