Composite pattern matching in time series

Asif Salekin, Md Mustafizur Rahman, Raihanul Islam

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publicationProceeding of the 15th International Conference on Computer and Information Technology, ICCIT 2012
Pages173-178
Number of pages6
DOIs
StatePublished - Dec 1 2012
Externally publishedYes
Event15th International Conference on Computer and Information Technology, ICCIT 2012 - Chittagong, Bangladesh
Duration: Dec 22 2012Dec 24 2012

Publication series

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

Conference

Conference15th International Conference on Computer and Information Technology, ICCIT 2012
CountryBangladesh
CityChittagong
Period12/22/1212/24/12

Keywords

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

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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  • 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). [6509784] (Proceeding of the 15th International Conference on Computer and Information Technology, ICCIT 2012). https://doi.org/10.1109/ICCITechn.2012.6509784