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[{"key": "dc.contributor.author", "value": "Cherenet, Zerayaeqob", "language": null, "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2018-01-15T15:09:10Z", "language": "", "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2018-01-15T15:09:10Z", "language": "", "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2018", "language": null, "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.other", "value": "oai:jykdok.linneanet.fi:1814624", "language": null, "element": "identifier", "qualifier": "other", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/56743", "language": "", "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Extracting valuable knowledge from data to support decision making is a widely\r\npracticed trend. Data-driven decision support (DDDS) provides insight for decision makers\r\nby exploring and extracting underlying patterns within a dataset. This thesis covers the\r\nprocess of DDDS in reducing driving under the influence of alcohol (DUI) offenses by\r\nintroducing proposed prison sentences. In this thesis, DDDS is applied to a DUI dataset by\r\nanalyzing patterns in the dataset and by introducing proposed prison sentences for offenders\r\nto reduce the number of DUI cases. Background theories in data mining, machine\r\nlearning, optimization and decision science that are related to the thesis project are also\r\ncovered. Furthermore, the thesis presents the application of data analysis and\r\nmultiobjective optimization, in formulating and optimizing objective functions representing\r\nDUI reduction. The results obtained from the analysis show that, by grouping individuals\r\nwith similar DUI patterns and by introducing different proposed prison sentences for\r\neach group, it is possible to provide decision support that can reduce the number of DUIs\r\nat certain time intervals.", "language": "", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted using Plone Publishing form by Zerayaeqob Cherenet (zemecher) on 2018-01-15 15:09:09.877374. Form: Master's Thesis publishing form (https://kirjasto.jyu.fi/publish-and-buy/publishing-forms/masters-thesis-publishing-form). JyX data: [jyx_publishing-allowed (fi) =True]", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by jyx lomake-julkaisija (jyx-julkaisija.group@korppi.jyu.fi) on 2018-01-15T15:09:10Z\r\nNo. of bitstreams: 2\r\nURN:NBN:fi:jyu-201801151197.pdf: 2517671 bytes, checksum: 9338f01b94bd99a19ce0ac918bbf39a6 (MD5)\r\nlicense.html: 4322 bytes, checksum: 0defd18f2684642920d8a6fbaf3610b8 (MD5)", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2018-01-15T15:09:10Z (GMT). No. of bitstreams: 2\r\nURN:NBN:fi:jyu-201801151197.pdf: 2517671 bytes, checksum: 9338f01b94bd99a19ce0ac918bbf39a6 (MD5)\r\nlicense.html: 4322 bytes, checksum: 0defd18f2684642920d8a6fbaf3610b8 (MD5)\r\n Previous issue date: 2018", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "1 verkkoaineisto (83 sivua)", "language": null, "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.format.mimetype", "value": "application/pdf", "language": null, "element": "format", "qualifier": "mimetype", "schema": "dc"}, {"key": "dc.language.iso", "value": "eng", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "Data-driven optimization", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "Decision-support", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "DUI", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "Multiobjective optimization", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Data-driven decision support to reduce \"driving-under the influence of alcohol\" offenses", "language": null, "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-201801151197", "language": null, "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Pro gradu -tutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, 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