loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2008 Eighth IEEE International Conference on Data Mining
Boosting Relational Sequence Alignments
December 15-December 19
ISBN: 978-0-7695-3502-9
ASCII Text
x 
 
Andreas Karwath, Kristian Kersting, Niels Landwehr, "Boosting Relational Sequence Alignments," Data Mining, IEEE International Conference on, pp. 857-862, 2008 Eighth IEEE International Conference on Data Mining, 2008.
 
 
BibTex
x
 
@article{ 10.1109/ICDM.2008.127,
author = {Andreas Karwath and Kristian Kersting and Niels Landwehr},
title = {Boosting Relational Sequence Alignments},
journal ={Data Mining, IEEE International Conference on},
volume = {0},
year = {2008},
issn = {1550-4786},
pages = {857-862},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2008.127},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Mining, IEEE International Conference on
TI - Boosting Relational Sequence Alignments
SN - 1550-4786
SP857
EP862
A1 - Andreas Karwath,
A1 - Kristian Kersting,
A1 - Niels Landwehr,
PY - 2008
KW - Relational Sequences
KW - Boosting
VL - 0
JA - Data Mining, IEEE International Conference on
ER -
 
The task of aligning sequences arises in many applications. Classical dynamic programming approaches require the explicit state enumeration in the reward model. This is often impractical: the number of states grows very quickly with the number of domain objects and relations among these objects.
Index Terms:
Relational Sequences, Boosting
Citation:
Andreas Karwath, Kristian Kersting, Niels Landwehr, "Boosting Relational Sequence Alignments," icdm, pp.857-862, 2008 Eighth IEEE International Conference on Data Mining, 2008
Usage of this product signifies your acceptance of the Terms of Use.