04146nas a2200469 a 4500 20260818085750.0 200707s2017 th uu m rtt 0| a1eng d .b1234607x AIT RSPR no.IM-17-09 Kaladgi, Bindu Data mining techniques for predicting the consumer behavior based on government utility water services Pathum Thani, Thailand : Asian Institute of Technology, 2017 54 p. : ill. Research studies project report ; no. IM-17-09 A research submitted in partial fulfillment of the requirements for the degree of Master of Science in Information Management, School of Engineering and Technology Research studies project report (M. Sc.) - Asian Institute of Technology, 2017 The process of classifying through huge chunks of data sets in order to {uFB01}nd out patterns and develop relationships to solve issues by data analysis is known as data mining. Data mining tools allow enterprises to predict future trends.Data mining refers to extracting knowledge from large amount of data.There are number of data mining techniques like clustering , decision trees,multiple predictive models. Here , we discuss the techniques of data mining in current practice which would be considered important to understand consumer behavior. Research study contains of 2 models which are associated to one another one being water services provided by the govt and the other being behavior of the consumer or customer track ,a study is conducted out to perceive the purchase of consumers and the procedure of utilization behaviour and to foster the customer research study and services their motive, and the other one being to collect apt information about customers. Govt looks for the supply of water to the household and sewerage services of the city , the services include supply of potable drinkingwater,sewage disposal and treatment, designing, outlining and execution of water supply and sewage works. To have knowledge of customers {uFB01}rst choice construction processes and their connected conduct is fundamental for government to cultivate pro{uFB01}table goods or help and for policy makers to prosper favorable policies. consumers buying behaviour targets on how social and commercial marketing can expect and react to behaviour of consumer.The main goal is useful for government in order to improve the water services provided according to the consumer behavior track and also for researches to get an comprehensive view of the literature in this {uFB01}eld. Data mining Computer programs Consumer behavior Data processing Water utilities Government policy Sumanta, Guha, Chairperson Phan, Minh Dung, Examination Committee Bohez, Erik L.J., Examination Committee Asian Institute of Technology Fellowship , Scholarship donor Asian Institute of Technology. Research studies project report ; no. IM-17-09 Full-Text http://203.159.5.9/ait-thesis/detail.php?q=B06936 .b1234607x mnait m 240419 0 200707 m a m 0 mnait mnait mnarc mnarc 40 61 20 Barcode : 30050120890834 CREATED : 2020-06-22 RECORD # : i1327725x LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : - CREATED : 2020-06-22 RECORD # : i13277261 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050120982706 CREATED : 2020-07-14 RECORD # : i13282177 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050120982698 CREATED : 2020-07-14 RECORD # : i13282189 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 25626 25626 0 0 0 0 MAIN MAIN mnarc 2026-08-18 0 AIT RSPR no.IM-17-09 30050120890834 2026-08-18 08:57:50 1 2026-08-18 40 0 0 0 0 MAIN MAIN mnarc 2026-08-18 0 AIT RSPR no.IM-17-09 2026-08-18 08:57:50 2026-08-18 61 0 0 0 0 MAIN MAIN mnait 2026-08-18 50.00 0 AIT RSPR no.IM-17-09 30050120982706 2026-08-18 08:57:50 1 2026-08-18 20 0 0 0 0 MAIN MAIN mnait 2026-08-18 50.00 0 AIT RSPR no.IM-17-09 30050120982698 2026-08-18 08:57:50 2 2026-08-18 20