%0 Conference Proceedings
%T A Novel Approach to Gasoline Price Forecasting Based on Karhunen-Loève Transform and Network for Vector Quantization with Voronoid Polyhedral
%+ University of Malaya = Universiti Malaya [Kuala Lumpur, Malaisie] (UM)
%+ International Islamic University
%+ AMCS Research Center
%A Chiroma, Haruna
%A Abdulkareem, Sameem
%A Abubakar, Adamu, I.
%A Sari, Eka, Novita
%A Herawan, Tutut
%Z Part 1: Information & Communication Technology-EurAsia Conference 2014, ICT-EurAsia 2014
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 2nd Information and Communication Technology - EurAsia Conference (ICT-EurAsia)
%C Bali, Indonesia
%Y David Hutchison
%Y Takeo Kanade
%Y Bernhard Steffen
%Y Demetri Terzopoulos
%Y Doug Tygar
%Y Gerhard Weikum
%Y Linawati
%Y Made Sudiana Mahendra
%Y Erich J. Neuhold
%Y A Min Tjoa
%Y Ilsun You
%Y Josef Kittler
%Y Jon M. Kleinberg
%Y Alfred Kobsa
%Y Friedemann Mattern
%Y John C. Mitchell
%Y Moni Naor
%Y Oscar Nierstrasz
%Y C. Pandu Rangan
%I Springer
%3 Information and Communication Technology
%V LNCS-8407
%P 257-266
%8 2014-04-14
%D 2014
%R 10.1007/978-3-642-55032-4_25
%K Vector quantization
%K Gasoline price
%K Karhunen-Loève Transform
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X We propose an intelligent approach to gasoline price forecasting as an alternative to the statistical and econometric approaches typically applied in the literature. The linear nature of the statistics and Econometrics models assume normal distribution for input data which makes it unsuitable for forecasting nonlinear, and volatile gasoline price. Karhunen-Loève Transform and Network for Vector Quantization (KLNVQ) is proposed to build a model for the forecasting of gasoline prices. Experimental findings indicated that the proposed KLNVQ outperforms Autoregressive Integrated Moving Average, multiple linear regression, and vector autoregression model. The KLNVQ model constitutes an alternative to the forecasting of gasoline prices and the method has added to methods propose in the literature. Accurate forecasting of gasoline price has implication for the formulation of policies that can help deviate from the hardship of gasoline shortage.
%G English
%Z TC 5
%Z TC 8
%2 https://inria.hal.science/hal-01397204/document
%2 https://inria.hal.science/hal-01397204/file/978-3-642-55032-4_25_Chapter.pdf
%L hal-01397204
%U https://inria.hal.science/hal-01397204
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-TC8
%~ IFIP-ICT-EURASIA
%~ IFIP-LNCS-8407