Association pattern of NO2 and NMHC towards high ozone concentration in klang

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

3 Citations (Scopus)

Abstract

Association rules techniques has advantages to discover knowledge such as frequent pattern or infrequent patterns. Therefore, this paper present the discovering of association rules based on data mining technique towards climatological time series data. For this purpose, k-mean clustering technique has been proposed to determine the interval for all variables separately and use Apriori algorithm to find association rule between the variables. The aims of this study is to determine the useful patterns on the high and low concentration of Ozone surrounding Klang areas. The experiment was conducted using hourly ozone dataset collected at Klang station in years 1997 until 2012. The result has found 17 rules which contribute in identifying the behaviour and the pattern of the variables.

Original languageEnglish
Title of host publicationProceedings of the 2017 6th International Conference on Electrical Engineering and Informatics
Subtitle of host publicationSustainable Society Through Digital Innovation, ICEEI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
Volume2017-November
ISBN (Electronic)9781538604755
DOIs
Publication statusPublished - 9 Mar 2018
Event6th International Conference on Electrical Engineering and Informatics, ICEEI 2017 - Langkawi, Malaysia
Duration: 25 Nov 201727 Nov 2017

Other

Other6th International Conference on Electrical Engineering and Informatics, ICEEI 2017
CountryMalaysia
CityLangkawi
Period25/11/1727/11/17

Fingerprint

Ozone
Association rules
Association Rules
Data Mining
Apriori Algorithm
Cluster Analysis
Frequent Pattern
K-means Clustering
Time Series Data
Data mining
Time series
Interval
Experiment
Experiments
Datasets

Keywords

  • Apriori
  • Association Rule
  • Data Mining
  • Time Series

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Optimization
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Software
  • Electrical and Electronic Engineering
  • Health Informatics

Cite this

Ali Othman, Z., Ismail, N., & Latif, M. T. (2018). Association pattern of NO2 and NMHC towards high ozone concentration in klang. In Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017 (Vol. 2017-November, pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEEI.2017.8312437

Association pattern of NO2 and NMHC towards high ozone concentration in klang. / Ali Othman, Zulaiha; Ismail, Noraini; Latif, Mohd Talib.

Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017. Vol. 2017-November Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6.

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

Ali Othman, Z, Ismail, N & Latif, MT 2018, Association pattern of NO2 and NMHC towards high ozone concentration in klang. in Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017. vol. 2017-November, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 6th International Conference on Electrical Engineering and Informatics, ICEEI 2017, Langkawi, Malaysia, 25/11/17. https://doi.org/10.1109/ICEEI.2017.8312437
Ali Othman Z, Ismail N, Latif MT. Association pattern of NO2 and NMHC towards high ozone concentration in klang. In Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017. Vol. 2017-November. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-6 https://doi.org/10.1109/ICEEI.2017.8312437
Ali Othman, Zulaiha ; Ismail, Noraini ; Latif, Mohd Talib. / Association pattern of NO2 and NMHC towards high ozone concentration in klang. Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017. Vol. 2017-November Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-6
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