RT Conference Proceedings
T1 Sequence classification using statistical pattern recognition
A1 Iglesias Martínez, José Antonio
A1 Ledezma Espino, Agapito Ismael
A1 Sanchis de Miguel, María Araceli
AB Sequence classification is a significant problem that arises in many different real-world applications. The purpose of a sequence classifier is to assign a class label to a given sequence. Also, to obtain the pattern that characterizes the sequence is usually very useful. In this paper, a technique to discover a pattern from a given sequence is presented followed by a general novel method to classify the sequence. This method considers mainly the dependencies among the neighbouring elements of a sequence. In order to evaluate this method, a UNIX command environment is presented, but the method is general enough to be applied to other environments.
PB Springer
SN 978-3-540-74824-3
SN 0302-9743 (print)
SN 1611-3349 (online)
YR 2007
FD 2007
LK https://hdl.handle.net/10016/10606
UL https://hdl.handle.net/10016/10606
LA eng
NO Proceeding of: 7th International Symposium on Intelligent Data Analysis. IDA-2007. Ljubljana, Slovenia, September, 6th-8th, 2007.
NO This work has been supported by the Spanish Government under project TRA2004-07441-C03-2/IA.
DS e-Archivo
RD 17 jul. 2024