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Data Mining Techniques for Predicting the Consumer Behavior based on Government Utility Water Services

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dc.contributor.advisor Guha, Sumanta
dc.contributor.author Bindu, Kaladgi
dc.contributor.other Dung, Phan Minh
dc.contributor.other Bohez, Erik L.J
dc.date.accessioned 2017-12-12T02:53:04Z
dc.date.available 2017-12-12T02:53:04Z
dc.date.issued 2017-12-06
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/879
dc.description.abstract Abstract The process of classifying through huge chunks of data sets in order to 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 drinking water, sewage disposal and treatment, designing, outlining and execution of water supply and sewage works. To have knowledge of customers rst choice construction processes and their connected conduct is fundamental for government to cultivate pro 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 field. en_US
dc.language.iso en en_US
dc.subject Data mining techniques en_US
dc.subject Consumer Behavior en_US
dc.subject HMWSSB en_US
dc.subject Prediction en_US
dc.subject Decision tree en_US
dc.subject Prediction en_US
dc.title Data Mining Techniques for Predicting the Consumer Behavior based on Government Utility Water Services en_US
dc.type Research report en_US

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