Data Analysis, Machine Learning and Applications
β Scribed by Christine Preisach, Hans Burkhardt, Lars Schmidt-Thieme, Reinhold Decker
- Publisher
- Springer
- Year
- 2008
- Tongue
- English
- Leaves
- 703
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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 fΓΒΌr Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.
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