Dual water choices: the assessment of the influential factors on water sources choices using unsupervised machine learning market basket analysis

• Main Authors: Tiyasha, Tiyasha, Bhagat, Suraj Kumar, Fituma, Firaol, Tung, Tran Minh, Shahid, Shamsuddin, Yaseen, Zaher Mundher
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2021
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/95505/1/ShamsuddinShahid2021_DualWaterChoicestheAssessment.pdf; http://eprints.utm.my/id/eprint/95505/; http://dx.doi.org/10.1109/ACCESS.2021.3124817

An unsupervised machine learning model of association rule known as market basket analysis is proposed in this study to analyze the influence of various socio-economic factors on the choice of the water source. Data of 51 socio-economic factors collected from 295 individuals living in 65 households...