Conference paper

HOMOLIAK Ivan. Increasing Classification Accuracy in LibSVM Using String Kernel Functions. In: Proceedings of the 18th Conference STUDENT EEICT 2012. Brno: Faculty of Electrical Engineering and Communication BUT, 2012, pp. 281-283. ISBN 978-80-214-4461-4.
Publication language:english
Original title:Increasing Classification Accuracy in LibSVM Using String Kernel Functions
Title (cs):Zvýšení úspěšnosti klasifikace v libSVM s použitím řetězcových fukcí
Pages:281-283
Proceedings:Proceedings of the 18th Conference STUDENT EEICT 2012
Conference:Student EEICT 2012
Series:Student EEICT, Volume 2
Place:Brno, CZ
Year:2012
ISBN:978-80-214-4461-4
Publisher:Faculty of Electrical Engineering and Communication BUT
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Keywords
classification, libSVM, spam detection, string kernel functions
Annotation
This publication deal with classification of text data using string kernel functions and SVM. There are discussed various experiments with string kernel functions and SVM.
Abstract
This paper explores dependencies of text classification used with string kernel functions. There are described experiments with single string kernel function and also experiments with combinations of them with arithmetic operations of addition and multiplication. Gathered results are applied to detect spam messages of e-mail communication.
BibTeX:
@INPROCEEDINGS{
   author = {Ivan Homoliak},
   title = {Increasing Classification Accuracy in LibSVM Using String
	Kernel Functions},
   pages = {281--283},
   booktitle = {Proceedings of the 18th Conference STUDENT EEICT 2012},
   series = {Student EEICT, Volume 2},
   year = {2012},
   location = {Brno, CZ},
   publisher = {Faculty of Electrical Engineering and Communication BUT},
   ISBN = {978-80-214-4461-4},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=10301}
}

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