Contents

A study on analysis and application of water management based on big data

Kim, Seonju

DC Field Value Language
dc.contributor.advisorLee, Jongyearn-
dc.contributor.authorKim, Seonju-
dc.date.accessioned2020-07-03T02:19:55Z-
dc.date.available2020-07-03T02:19:55Z-
dc.date.created2018-
dc.date.issued2018-
dc.identifier.urihttps://archives.kdischool.ac.kr/handle/11125/34615-
dc.descriptionThesis(Master) --KDI School:Master of Public Management,2018.en_US
dc.description.abstractRecently, there has been a growing interest in intelligent technology such as Big Data. It has become an emerging technology as a key issue in major trends in domestic and abroad. The purpose of this research is to study and propose Big Data analysis performance plan for minimizing the occurrence of delinquent customers by analyzing the past pattern of them in local waterworks operation efficiency project. In order to accomplish the purpose of this study, this research will be established analysis performance plan including infrastructure POC (that is, proof of concept) as a preliminary step for data collection and extraction, data refinement and transformation, data analysis and verification in the local waterworks. This paper will serve as an initial guide for Big Data analysis in this area. This research will be of interest to policy makers including K-water and municipal officers. This research will make use of existing databases, Korean public data, Korean Statistical Information Service data, and other working papers and journals.en_US
dc.description.tableOfContentsI. Introduction II. Literature Review III. Methods IV. Analysis and findings: Analysis Performance Plan V. Conclusion and Suggestionen_US
dc.format.extent75 p.-
dc.languageengen_US
dc.publisherKDI Schoolen_US
dc.subject.LCSHWater resources development-
dc.subject.LCSHWater-supply-
dc.titleA study on analysis and application of water management based on big dataen_US
dc.title.alternativefocusing on prevention of water rates delinquency in local waterworksen_US
dc.typeCapstoneen_US
dc.contributor.departmentKDI School, Master of Public Policy-
dc.date.awarded2018-
dc.description.degreemasteren_US
dc.description.eprintVersionpublisheden_US
dc.type.DSpacecapstone-
dc.publisher.locationSejongen_US
dc.description.statementOfResponsibilitySeon Ju, KIM.en_US
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