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[Studies in Classification, Data Analysis, and Knowledge Organization] Data Analysis, Machine Learning and Applications || Predicting Stock Returns with Bayesian Vector Autoregressive Models

✍ Scribed by Preisach, Christine; Burkhardt, Hans; Schmidt-Thieme, Lars; Decker, Reinhold

Book ID
126176185
Publisher
Springer Berlin Heidelberg
Year
2008
Tongue
German
Weight
230 KB
Edition
2008
Category
Article
ISBN
354078246X

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✦ 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 fΓΌr Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.

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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,