Data Analysis, Machine Learning and Applications
Christine Preisach, Hans Burkhardt, Lars Schmidt-Thieme, Reinhold Decker
Data analysis and machine learning 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, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.
Κατηγορίες:
Έτος:
2008
Έκδοση:
1
Εκδότης:
Springer
Γλώσσα:
english
Σελίδες:
720
ISBN 10:
3540782397
Αρχείο:
PDF, 11.00 MB
IPFS:
,
english, 2008
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