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The 7th International Symposium on Intelligent Data Analysis

Sequence Classification Using Statistical Pattern Recognition

author: José Antonio Iglesias, Carlos III University of Madrid

Description

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.

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Slides
0:00 Sequence Classification Using Statistical Pattern Recognition
0:17 Outline pt 1
0:38 Outline pt 2
0:40 Motivation
1:00 Introduction
1:17 Outline pt 3
1:19 Sequence Classification
1:34 Outline pt 4
1:36 Our Approach
2:43 Outline pt 5
2:47 Library Creation
3:12 Library Creation - An Example Trie pt 1
3:30 Library Creation - An Example Trie pt 2
3:36 Library Creation - An Example Trie pt 3
3:45 Library Creation - An Example Trie pt 4
3:57 Library Creation - An Example Trie pt 5
4:03 Library Creation - An Example Trie pt 6
4:24 Library Creation - An Example Trie pt 7
4:27 Library Creation - An Example Trie pt 8
4:28 Library Creation - An Example Trie pt 9
4:29 Library Creation - An Example Trie pt 10
4:38 Library Creation - Evaluating Dependences pt 1
4:59 Library Creation - Evaluating Dependences pt 2
5:04 Library Creation - Evaluating Dependences pt 3
5:25 Outline pt 6
5:31 Classification
5:50 Classification - Comparing Process pt 1
6:27 Classification - Comparing Process pt 2
6:31 Classification - Comparing Process pt 3
6:54 Classification - Comparing Process pt 4
6:56 Classification - Comparing Process pt 5
7:00 Classification - Comparing Process pt 6
7:15 Classification - Comparing Process pt 7
7:22 Classification - Comparing Process pt 8
7:34 Classification - Comparing Process pt 9
7:42 Outline pt 7
7:48 Environment – UNIX Command Line Sequences
8:28 Outline pt 8
8:30 Experiments – UNIX Command Line Sequences pt 1
8:49 Experiments – UNIX Command Line Sequences pt 2
8:55 Experiments – UNIX Command Line Sequences pt 3
9:44 Results – UNIX Command Line Sequences pt 1
11:11 Results – UNIX Command Line Sequences pt 2
12:14 Outline pt 9
12:15 Conclusions pt 1
12:39 Conclusions pt 2
13:22 Future Works
14:34 Thank You!

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