Data Analysis, Machine Learning and Knowledge Discovery Data Analysis, Machine Learning and Knowledge Discovery
Studies in Classification, Data Analysis, and Knowledge Organization

Data Analysis, Machine Learning and Knowledge Discovery

Myra Spiliopoulou und andere
    • 87,99 €
    • 87,99 €

Beschreibung des Verlags

Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medicine, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and knowledge discovery presented during the 36th annual conference of the German Classification Society (GfKl). The conference was held at the University of Hildesheim (Germany) in August 2012. ​

GENRE
Computer und Internet
ERSCHIENEN
2013
26. November
SPRACHE
EN
Englisch
UMFANG
491
Seiten
VERLAG
Springer International Publishing
ANBIETERINFO
Springer Science & Business Media LLC
GRÖSSE
6,5
 MB
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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
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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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