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 |