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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/1996
DC FieldValueLanguage
dc.contributor.authorTruong Trung Duongen_US
dc.date.accessioned2025-03-25T04:07:23Z-
dc.date.available2025-03-25T04:07:23Z-
dc.date.issued2024-
dc.identifier.urihttps://epub.vgu.edu.vn/handle/dlibvgu/1996-
dc.description.abstractPersonal finance is a process of an individual’s cash flow and defines all financial decisions and activities of an individual. Besides public and corporate finance, personal finance plays a crucial role in the economy. The economic system could not be healthy if its cells, the individuals, experience unhealthy financial life. This thesis aims to research possible ways of applying data analytics, tools, methods, and models of classification, clustering and prediction which support for personal finance management field, then propose a feasible digital solution to digitalize one or some aspects of this business such as savings, investment, insurance, and risk-return trade-off. The designed models and solutions are expected to help stakeholders of personal finance analyze and understand their needs, desires, balance of risk and return and help providers of financial services optimize their decisions in dealing with the target marketen_US
dc.language.isoenen_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectData analyticsen_US
dc.subjectAlgorithmsen_US
dc.subjectSolving problemsen_US
dc.subjectPersonal financeen_US
dc.titleApplication of data analytics and algorithms for solving problems in personal financeen_US
dc.typeThesisen_US
item.fulltextWith Fulltext-
item.languageiso639-1other-
item.grantfulltextrestricted-
Appears in Collections:Business Information Systems (BIS)
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