Sequence classification using statistical pattern recognition

Authors:
José Antonio Iglesias;Agapito Ledezma;Araceli Sanchis
Affiliations:
Universidad Carlos III de Madrid, Leganés, Madrid, Spain;Universidad Carlos III de Madrid, Leganés, Madrid, Spain;Universidad Carlos III de Madrid, Leganés, Madrid, Spain
Venue:
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
Year:
2007

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Abstract

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.