TY  - JOUR
AU  - Colas, Fabrice
AU  - Brazdil, Pavel
T1  - On the Behavior of SVM and Some Older Algorithms in Binary Text Classification Tasks
JO  - Text, Speech and Dialogue
PY  - 2006/
VL  - 
IS  - 
SP  - 45
EP  - 52
UR  - http://dx.doi.org/10.1007/11846406_6
DO  - 
KW  - classification
KW  - knn
KW  - nb
KW  - preprocessing
KW  - svm
KW  - text
KW  - tm
KW  - toread
L1  - 
SN  - 
N1  - SpringerLink - Buchkapitel
N1  - 
AB  - Document classification has already been widely studied. In fact, some studies compared feature selection techniques or feature
<p>space transformation whereas some others compared the performance of different algorithms. Recently, following the risinginterest towards the Support Vector Machine, various studies showed that the SVM outperforms other classification algorithms.So should we just not bother about other classification algorithms and opt always for SVM?
ER  -

TY  - CONF
AU  - Popescul, Alexandrin
AU  - Ungar, Lyle H.
AU  - Lawrence, Steve
AU  - Pennock, David M.
A2  - 
T1  - Statistical Relational Learning for Document Mining.
T2  - ICDM
PB  - IEEE Computer Society
C1  - 
PY  - 2003/
CY  -  
VL  - 
IS  - 
SP  - 275
EP  - 282
UR  - http://www.cis.upenn.edu/~popescul/Publications/popescul03dm.pdf
DO  - 
KW  - 2003
KW  - classification
KW  - document
KW  - mining
KW  - srl
KW  - text
KW  - tm
L1  - 
SN  - 0-7695-1978-4
N1  - dblp
N1  - 
AB  - 
ER  -

TY  - JOUR
AU  - Sebastiani, F.
T1  - Machine learning in automated text categorization
JO  - ACM Computing Surveys
PY  - 2002/
VL  - 34
IS  - 1
SP  - 1
EP  - 47
UR  - http://faure.iei.pi.cnr.it/~fabrizio/Publications/ACMCS02.pdf
DO  - 
KW  - tm
KW  - text
KW  - survey
KW  - classification
KW  - categorization
KW  - ml
L1  - 
SN  - 
N1  - 
N1  - 
AB  - 
ER  -