Classification and Data Mining Classification and Data Mining
    • 84,99 $

Description de l’éditeur

​​​​​​​​​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
Science et nature
SORTIE
2012
18 décembre
LANGUE
EN
Anglais
LONGUEUR
300
Pages
ÉDITEUR
Springer Berlin Heidelberg
VENDEUR
Springer Nature B.V.
TAILLE
15,7
 Mo
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Handbook of Latent Variable and Related Models Handbook of Latent Variable and Related Models
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Spatio-temporal Design Spatio-temporal Design
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Chemometrics Chemometrics
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Data Science in Theory and Practice Data Science in Theory and Practice
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Statistical Models and Learning Methods for Complex Data Statistical Models and Learning Methods for Complex Data
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Supervised and Unsupervised Statistical Data Analysis Supervised and Unsupervised Statistical Data Analysis
2025
Recent Trends and Future Challenges in Learning from Data Recent Trends and Future Challenges in Learning from Data
2024
Statistical Models and Methods for Data Science Statistical Models and Methods for Data Science
2023
Modern Classification and Data Analysis Modern Classification and Data Analysis
2022
Statistical Learning and Modeling in Data Analysis Statistical Learning and Modeling in Data Analysis
2021