Composite pattern matching in time series

Asif Salekin; Md Mustafizur Rahman; Raihanul Islam

doi:10.1109/ICCITechn.2012.6509784

Composite pattern matching in time series

Asif Salekin, Md Mustafizur Rahman, Raihanul Islam

Research output: Chapter in Book/Entry/Poem › Conference contribution

Abstract

For last few years many research have been taken place to recognize various meaningful patterns from time series data. These researches are based on recognizing basic time series patterns. Most of these works used template based, rule based and neural network based techniques to recognize basic patterns. But in time series there exist many composite patterns comprise of simple basic patterns. In this paper we propose two novel approaches of recognizing composite patterns from time series data. In our proposed approach we use combination of template based and rule based approaches and neural network and rule based approaches to recognize these composite patterns.

Original language	English (US)
Title of host publication	Proceeding of the 15th International Conference on Computer and Information Technology, ICCIT 2012
Pages	173-178
Number of pages	6
DOIs	https://doi.org/10.1109/ICCITechn.2012.6509784
State	Published - 2012
Externally published	Yes
Event	15th International Conference on Computer and Information Technology, ICCIT 2012 - Chittagong, Bangladesh Duration: Dec 22 2012 → Dec 24 2012

Publication series

Name	Proceeding of the 15th International Conference on Computer and Information Technology, ICCIT 2012

Conference

Conference	15th International Conference on Computer and Information Technology, ICCIT 2012
Country/Territory	Bangladesh
City	Chittagong
Period	12/22/12 → 12/24/12

Keywords

Composite pattern
Neural network
Pattern recognition
Rule based approach
Template based approach

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems

Access to Document

10.1109/ICCITechn.2012.6509784

Cite this

Salekin, A., Rahman, M. M., & Islam, R. (2012). Composite pattern matching in time series. In Proceeding of the 15th International Conference on Computer and Information Technology, ICCIT 2012 (pp. 173-178). Article 6509784 (Proceeding of the 15th International Conference on Computer and Information Technology, ICCIT 2012). https://doi.org/10.1109/ICCITechn.2012.6509784

Composite pattern matching in time series. / Salekin, Asif; Rahman, Md Mustafizur; Islam, Raihanul.
Proceeding of the 15th International Conference on Computer and Information Technology, ICCIT 2012. 2012. p. 173-178 6509784 (Proceeding of the 15th International Conference on Computer and Information Technology, ICCIT 2012).

Research output: Chapter in Book/Entry/Poem › Conference contribution

Salekin, A, Rahman, MM & Islam, R 2012, Composite pattern matching in time series. in Proceeding of the 15th International Conference on Computer and Information Technology, ICCIT 2012., 6509784, Proceeding of the 15th International Conference on Computer and Information Technology, ICCIT 2012, pp. 173-178, 15th International Conference on Computer and Information Technology, ICCIT 2012, Chittagong, Bangladesh, 12/22/12. https://doi.org/10.1109/ICCITechn.2012.6509784

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abstract = "For last few years many research have been taken place to recognize various meaningful patterns from time series data. These researches are based on recognizing basic time series patterns. Most of these works used template based, rule based and neural network based techniques to recognize basic patterns. But in time series there exist many composite patterns comprise of simple basic patterns. In this paper we propose two novel approaches of recognizing composite patterns from time series data. In our proposed approach we use combination of template based and rule based approaches and neural network and rule based approaches to recognize these composite patterns.",

keywords = "Composite pattern, Neural network, Pattern recognition, Rule based approach, Template based approach",

author = "Asif Salekin and Rahman, {Md Mustafizur} and Raihanul Islam",

note = "Copyright: Copyright 2013 Elsevier B.V., All rights reserved.; 15th International Conference on Computer and Information Technology, ICCIT 2012 ; Conference date: 22-12-2012 Through 24-12-2012",

year = "2012",

doi = "10.1109/ICCITechn.2012.6509784",

language = "English (US)",

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AB - For last few years many research have been taken place to recognize various meaningful patterns from time series data. These researches are based on recognizing basic time series patterns. Most of these works used template based, rule based and neural network based techniques to recognize basic patterns. But in time series there exist many composite patterns comprise of simple basic patterns. In this paper we propose two novel approaches of recognizing composite patterns from time series data. In our proposed approach we use combination of template based and rule based approaches and neural network and rule based approaches to recognize these composite patterns.

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KW - Neural network

KW - Pattern recognition

KW - Rule based approach

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Composite pattern matching in time series

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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