Trend cluster analysis using self organizing maps

Mohd Nasir Mat Amin, Nohuddin Puteri Nor Ellyza, Zuraini Zainol

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Trend cluster analysis using Self Organization Maps (SOM) is an application for clustering time series data. The application is able to cluster and display the time series data into trend lines graphs, and also identify trend variations in time series data. The system can process a large number of records as well as a smaller datasets. The results generated by the application are useful for analyzing large data which is often hard to analyze using normal spreadsheet software. The system has been developed using Matlab SOM functions and adopted SOM learning technique to cluster time series data. Based on the experiments, the test results have shown that the application is able to accommodate large sets of data and produce the trend lines graphs.

Original languageEnglish
Title of host publication2014 4th World Congress on Information and Communication Technologies, WICT 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages80-84
Number of pages5
ISBN (Electronic)9781479981151
DOIs
Publication statusPublished - 1 Apr 2014
Externally publishedYes
Event2014 4th World Congress on Information and Communication Technologies, WICT 2014 - Melaka, Malaysia
Duration: 8 Dec 201411 Dec 2014

Other

Other2014 4th World Congress on Information and Communication Technologies, WICT 2014
CountryMalaysia
CityMelaka
Period8/12/1411/12/14

Fingerprint

Self organizing maps
Cluster analysis
Time series
Spreadsheets
Experiments

Keywords

  • cluster analysis
  • clustering
  • SOM
  • time series
  • trend line

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Amin, M. N. M., Puteri Nor Ellyza, N., & Zainol, Z. (2014). Trend cluster analysis using self organizing maps. In 2014 4th World Congress on Information and Communication Technologies, WICT 2014 (pp. 80-84). [7077306] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WICT.2014.7077306

Trend cluster analysis using self organizing maps. / Amin, Mohd Nasir Mat; Puteri Nor Ellyza, Nohuddin; Zainol, Zuraini.

2014 4th World Congress on Information and Communication Technologies, WICT 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 80-84 7077306.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Amin, MNM, Puteri Nor Ellyza, N & Zainol, Z 2014, Trend cluster analysis using self organizing maps. in 2014 4th World Congress on Information and Communication Technologies, WICT 2014., 7077306, Institute of Electrical and Electronics Engineers Inc., pp. 80-84, 2014 4th World Congress on Information and Communication Technologies, WICT 2014, Melaka, Malaysia, 8/12/14. https://doi.org/10.1109/WICT.2014.7077306
Amin MNM, Puteri Nor Ellyza N, Zainol Z. Trend cluster analysis using self organizing maps. In 2014 4th World Congress on Information and Communication Technologies, WICT 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 80-84. 7077306 https://doi.org/10.1109/WICT.2014.7077306
Amin, Mohd Nasir Mat ; Puteri Nor Ellyza, Nohuddin ; Zainol, Zuraini. / Trend cluster analysis using self organizing maps. 2014 4th World Congress on Information and Communication Technologies, WICT 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 80-84
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