Posted Thursday at 10:00 PM3 days Data Analysis, Machine Learning and Applications Data Analysis, Machine Learning and Applications Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7-9, 2007 by Christine Preisach, Hans Burkhardt, Lars Schmidt-Thieme, Reinhold Decker Publisher Springer Science & Business Media Published Date 2008-04-13 Page Count 719 Categories Computers / Artificial Intelligence / General, Mathematics / Probability & Statistics / General, Business & Economics / Information Management, Computers / Data Science / Data Analytics, Computers / Information Technology, Business & Economics / Business Mathematics Language EN Average Rating N/A (based on N/A ratings) Maturity Rating No Mature Content Detected ISBN 354078246X 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. More Information
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