Principles of data mining and knowledge discovery
Autoři
Parametry
Více o knize
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.
Nákup knihy
Principles of data mining and knowledge discovery, Luc De Raedt
- Jazyk
- Rok vydání
- 2001
Doručení
Platební metody
2021 2022 2023
Navrhnout úpravu
- Titul
- Principles of data mining and knowledge discovery
- Jazyk
- anglicky
- Autoři
- Luc De Raedt
- Vydavatel
- Springer
- Rok vydání
- 2001
- ISBN10
- 3540425349
- ISBN13
- 9783540425342
- Série
- Lecture notes in computer science
- Kategorie
- Počítače, IT, programování
- Anotace
- 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.