A comparative study on data mining techniques for rainfall prediction in Subang

Nabila Wardah Zamani, Siti Shaliza Mohd Khairi

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

Abstract

Rainfall prediction is a challenging problem in the meteorological department around the world due to the accurateness of prediction. This paper studies on data mining techniques to predict rainfall using meteorological data of Subang Weather Station collected from January 2009 to December 2016. The data preparation process involves five weather factors which are maximum temperature, minimum temperature, evaporation, wind speed and cloud with 2922 observations. Predictive Decision Tree model, Artificial Neural Network model and Naïve Bayes model are developed for rainfall prediction and comparison. Surprisingly, results show that the performance of Decision Tree model is better as compared to the other predictive models with the misclassification rate of 0.15 and RMSE=0.35. Given enough set of data, rainfall can be predict using the data mining techniques.

LanguageEnglish
Title of host publicationProceeding of the International Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018
EditorsShazalina Mat Zin, Nur' Afifah Rusdi, Khairul Anwar Bin Mohamad Khazali, Nooraihan Abdullah, Nurshazneem Roslan, Noor Alia Md Zain, Rasyida Md Saad, Nornadia Mohd Yazid
PublisherAmerican Institute of Physics Inc.
Volume2013
ISBN (Print)9780735417298
DOIs
Publication statusPublished - Oct 2 2018
EventInternational Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018 - Kuala Lumpur, Malaysia
Duration: Jul 24 2018Jul 26 2018

Other

OtherInternational Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018
CountryMalaysia
CityKuala Lumpur
Period7/24/187/26/18

Fingerprint

data mining
predictions
weather stations
weather
evaporation
preparation
temperature

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

Cite this

Zamani, N. W., & Khairi, S. S. M. (2018). A comparative study on data mining techniques for rainfall prediction in Subang. In S. M. Zin, N. A. Rusdi, K. A. B. M. Khazali, N. Abdullah, N. Roslan, N. A. M. Zain, R. M. Saad, ... N. M. Yazid (Eds.), Proceeding of the International Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018 (Vol. 2013). [020042] American Institute of Physics Inc.. https://doi.org/10.1063/1.5054241

A comparative study on data mining techniques for rainfall prediction in Subang. / Zamani, Nabila Wardah; Khairi, Siti Shaliza Mohd.

Proceeding of the International Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018. ed. / Shazalina Mat Zin; Nur' Afifah Rusdi; Khairul Anwar Bin Mohamad Khazali; Nooraihan Abdullah; Nurshazneem Roslan; Noor Alia Md Zain; Rasyida Md Saad; Nornadia Mohd Yazid. Vol. 2013 American Institute of Physics Inc., 2018. 020042.

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

Zamani, NW & Khairi, SSM 2018, A comparative study on data mining techniques for rainfall prediction in Subang. in SM Zin, NA Rusdi, KABM Khazali, N Abdullah, N Roslan, NAM Zain, RM Saad & NM Yazid (eds), Proceeding of the International Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018. vol. 2013, 020042, American Institute of Physics Inc., International Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018, Kuala Lumpur, Malaysia, 7/24/18. https://doi.org/10.1063/1.5054241
Zamani NW, Khairi SSM. A comparative study on data mining techniques for rainfall prediction in Subang. In Zin SM, Rusdi NA, Khazali KABM, Abdullah N, Roslan N, Zain NAM, Saad RM, Yazid NM, editors, Proceeding of the International Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018. Vol. 2013. American Institute of Physics Inc. 2018. 020042 https://doi.org/10.1063/1.5054241
Zamani, Nabila Wardah ; Khairi, Siti Shaliza Mohd. / A comparative study on data mining techniques for rainfall prediction in Subang. Proceeding of the International Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018. editor / Shazalina Mat Zin ; Nur' Afifah Rusdi ; Khairul Anwar Bin Mohamad Khazali ; Nooraihan Abdullah ; Nurshazneem Roslan ; Noor Alia Md Zain ; Rasyida Md Saad ; Nornadia Mohd Yazid. Vol. 2013 American Institute of Physics Inc., 2018.
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