Academic Journal

Dual Water Choices: The Assessment of the Influential Factors on Water Sources Choices Using Unsupervised Machine Learning Market Basket Analysis

التفاصيل البيبلوغرافية
العنوان: Dual Water Choices: The Assessment of the Influential Factors on Water Sources Choices Using Unsupervised Machine Learning Market Basket Analysis
المؤلفون: Tiyasha Tiyasha, Suraj Kumar Bhagat, Firaol Fituma, Tran Minh Tung, Shamsuddin Shahid, Zaher Mundher Yaseen
المصدر: IEEE Access, Vol 9, Pp 150532-150544 (2021)
بيانات النشر: IEEE, 2021.
سنة النشر: 2021
المجموعة: LCC:Electrical engineering. Electronics. Nuclear engineering
مصطلحات موضوعية: Developing countries, socio-economic factors, unsupervised machine learning, water policy, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
الوصف: 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 in Ambo city in the Oromia region of Ethiopians were used for this purpose. The results revealed (i) 64% of the family preferred multiple water sources (i.e., public tap and river water), (ii) the water was collected females in 92% of the households, and (iii) majority of people preferred bathing and laundering in the river (support = 32% and confidence = 87%). Direct utilization of river water is not a preferable choice for the user since it may lead to severe health issues and cause water pollution from bathing and laundering. Education and monthly income have a significant impact on the choices of water sources. Local management authorities can improve sanitation and public health management using the results obtained in the study. The paper only gives a glimpse of the important factors that should be considered for improving the way of life for the underdeveloped areas of the world using advanced machine learning techniques.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2169-3536
Relation: https://ieeexplore.ieee.org/document/9598811/; https://doaj.org/toc/2169-3536
DOI: 10.1109/ACCESS.2021.3124817
URL الوصول: https://doaj.org/article/cf2f1979b63447efa7e307f14fc813c6
رقم الانضمام: edsdoj.f2f1979b63447efa7e307f14fc813c6
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:21693536
DOI:10.1109/ACCESS.2021.3124817