Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/77207
Authors: 
Rüping, Stefan
Year of Publication: 
2002
Series/Report no.: 
Technical Report, SFB 475: Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 2002,51
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 SVM implementation 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.
Subjects: 
Support Vector Machines
Efficiency
Document Type: 
Working Paper

Files in This Item:
File
Size
72.58 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.