TY - JOUR ID - 118103 TI - Water Consumption Analysis Using Data Mining Techniques A Case Study: Fasa JO - International Journal of Industrial Engineering and Management Science JA - IJIEMS LA - en SN - 2409-1871 AU - Dehghan Bahraghani, Abbas AU - Feylizadeh, Mohammad Reza AD - Persian Gulf International Branch, Islamic Azad University, ABADAN, Iran AD - Department of Industrial Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran, Y1 - 2020 PY - 2020 VL - 7 IS - 1 SP - 105 EP - 114 KW - behavior analysis KW - Water and wastewater KW - consumers KW - Data mining DO - N2 - Optimizing the pattern of water consumption and institutionalizing the right structure in the consumer community will lead to improving the quality life parameters, eliminating the unnecessary financial costs and paving the path to global economic justice in the country. The first step to reach this goal is to analyze the behavior and detect the interests of the consumer community. Such an informational background will make it easier to find appropriate solutions to improve the consumption pattern. Data Mining (DM) is one of the most efficient methods to detect and dig out useful structures existing behind raw information with minimum human error. The retrieved conclusions can help analysts solve decision-making problems in various organizations. The goal of this research is to determine the behavior patterns of water consumers in a given period. Data mining method will be used to analyze the consumers’ behavior in between 2015 and 2017. The extracted results about the total consumption of the sample community, the average amount of each user type and their changes will all be shown and reported. UR - https://www.ijiems.com/article_118103.html L1 - https://www.ijiems.com/article_118103_93dd5fba71472d9edd1ca8a686509534.pdf ER -