Author(s): Christine Preisach, Hans Burkhardt, Lars Schmidt-Thieme, Reinhold Decker
Categories: Computers > Software, Computers > Database Management, Business & Economics > Information Management, Mathematics > Probability & Statistics, Computers > Artificial Intelligence
Publisher: Springer
Publish date: 2008-06-06
ISBN-10: 3540782397
ISBN-13: 9783540782391
Language: English
Description:
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… more…
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… more…