Classification and Data Mining Classification and Data Mining
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Beschreibung des Verlags

​​​​​​​​​This volume contains both methodological papers showing new original methods, and papers on applications illustrating how new domain-specific knowledge can be made available from data by clever use of data analysis methods. The volume is subdivided in three parts: Classification and Data Analysis; Data Mining; and Applications. The selection of peer reviewed papers had been presented at a meeting of classification societies held in Florence, Italy, in the area of "Classification and Data Mining".​

GENRE
Wissenschaft und Natur
ERSCHIENEN
2012
18. Dezember
SPRACHE
EN
Englisch
UMFANG
300
Seiten
VERLAG
Springer Berlin Heidelberg
GRÖSSE
15.7
 MB
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Supervised and Unsupervised Statistical Data Analysis Supervised and Unsupervised Statistical Data Analysis
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Recent Trends and Future Challenges in Learning from Data Recent Trends and Future Challenges in Learning from Data
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Statistical Models and Methods for Data Science Statistical Models and Methods for Data Science
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Modern Classification and Data Analysis Modern Classification and Data Analysis
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Statistical Learning and Modeling in Data Analysis Statistical Learning and Modeling in Data Analysis
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