Gesellschaft für Informatik e.V.

Lecture Notes in Informatics


Informatik bewegt: Informatik 2002 - 32. Jahrestagung der Gesellschaft für Informatik e.v. (GI), 30. September - 3.Oktober 2002 in Dortmund. P-19, 799-804 (2002).

GI, Gesellschaft für Informatik, Bonn
2002


Editors

Sigrid E. Schubert (ed.), Bernd Reusch (ed.), Norbert Jesse (ed.)


Copyright © GI, Gesellschaft für Informatik, Bonn

Contents

Support vector machines in relational databases

Stefan Rüping

Abstract


Today, most of the data in business applications is stored in relational databases. Relational database systems are so popular, because they offer solutions to many problems around data storage, such as efficiency, effectiveness, usability, security and multi-user support. To benefit from these advantages in Support Vector Machine (SVM) learning, we will develop an implementation of the SVM learning algorithm, that can be run inside a relational database system. Even if this kind of implementation obviously cannot be as efficient as a standalone implementation, it will be favorable in situations, where requirements other than efficiency for learning play an important role.


Full Text: PDF

GI, Gesellschaft für Informatik, Bonn
ISBN 3-88579-348-2


Last changed 04.10.2013 17:55:48