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Data Analysis, Machine Learning and Applications PDF

703 Pages·2008·10.999 MB·English
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About Data Analysis, Machine Learning and Applications

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.

Detailed Information

Author:Christine Preisach, Hans Burkhardt, Lars Schmidt-Thieme, Reinhold Decker
Publication Year:2008
ISBN:9783540782391
Pages:703
Language:English
File Size:10.999
Format:PDF
Price:FREE
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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.