A Comparison of the Efficiency of Regression Bike Sharing Dataset by Data Mining Technique

Please use this identifier to cite or link to this item: https://publication.npru.ac.th/jspui/handle/123456789/806

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DC Field	Value	Language
dc.contributor.author	Limkulakhom, Thada	-
dc.contributor.author	Jaturawiyasat, Supachai	-
dc.contributor.author	Manawakrit, Wikorn	-
dc.contributor.author	Hengpraphrom, Kairung	-
dc.date.accessioned	2020-10-12T07:04:59Z	-
dc.date.available	2020-10-12T07:04:59Z	-
dc.date.issued	2020-07-10	-
dc.identifier.uri	https://publication.npru.ac.th/jspui/handle/123456789/806	-
dc.description.abstract	The objective of this research is to study and compare forecasting techniques suitable for data forecasting. Bike Sharing in this research has selected 3 techniques for using in this research, Linear Regression. neural network and decision tree In order to find the best forecasting performance in the Bike of Sharing data group. Techniques that give the best results are Linear regression Where the square root of the mean squared error is 0.005 +/- 0.009, followed by the artificial neural network Where the square root of the mean square mean is 2.710 +/- 0.000 and the final is Decision tree By giving the square root of the mean squared mean value of 5.768 +/- 0.000	en_US
dc.subject	regression	en_US
dc.subject	Linear Regression	en_US
dc.subject	neural network	en_US
dc.subject	decision tree	en_US
dc.title	A Comparison of the Efficiency of Regression Bike Sharing Dataset by Data Mining Technique	en_US
Appears in Collections:	Proceedings of the 12th NPRU National Academic Conference

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