Data Analysis, Machine Learning and Knowledge Discovery

Data Analysis, Machine Learning and Knowledge Discovery

  • Myra Spiliopoulou
  • Lars Schmidt-Thieme
  • Ruth Janning
Publisher:Springer Science & Business MediaISBN 13: 9783319015958ISBN 10: 3319015958

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Data Analysis, Machine Learning and Knowledge Discovery is written by Myra Spiliopoulou and published by Springer Science & Business Media. It's available with International Standard Book Number or ISBN identification 3319015958 (ISBN 10) and 9783319015958 (ISBN 13).

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, medicine, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and knowledge discovery presented during the 36th annual conference of the German Classification Society (GfKl). The conference was held at the University of Hildesheim (Germany) in August 2012. ​