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dc.contributor.authorCherenet, Zerayaeqob
dc.date.accessioned2018-01-15T15:09:10Z
dc.date.available2018-01-15T15:09:10Z
dc.date.issued2018
dc.identifier.otheroai:jykdok.linneanet.fi:1814624
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/56743
dc.description.abstractExtracting valuable knowledge from data to support decision making is a widely practiced trend. Data-driven decision support (DDDS) provides insight for decision makers by exploring and extracting underlying patterns within a dataset. This thesis covers the process of DDDS in reducing driving under the influence of alcohol (DUI) offenses by introducing proposed prison sentences. In this thesis, DDDS is applied to a DUI dataset by analyzing patterns in the dataset and by introducing proposed prison sentences for offenders to reduce the number of DUI cases. Background theories in data mining, machine learning, optimization and decision science that are related to the thesis project are also covered. Furthermore, the thesis presents the application of data analysis and multiobjective optimization, in formulating and optimizing objective functions representing DUI reduction. The results obtained from the analysis show that, by grouping individuals with similar DUI patterns and by introducing different proposed prison sentences for each group, it is possible to provide decision support that can reduce the number of DUIs at certain time intervals.
dc.format.extent1 verkkoaineisto (83 sivua)
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.rightsIn Copyrighten
dc.subject.otherData-driven optimization
dc.subject.otherDecision-support
dc.subject.otherDUI
dc.subject.otherMultiobjective optimization
dc.titleData-driven decision support to reduce "driving-under the influence of alcohol" offenses
dc.typemaster thesis
dc.identifier.urnURN:NBN:fi:jyu-201801151197
dc.type.ontasotPro gradu -tutkielmafi
dc.type.ontasotMaster’s thesisen
dc.contributor.tiedekuntaInformaatioteknologian tiedekuntafi
dc.contributor.tiedekuntaFaculty of Information Technologyen
dc.contributor.laitosInformation Technologyen
dc.contributor.laitosInformaatioteknologia
dc.contributor.yliopistoUniversity of Jyväskyläen
dc.contributor.yliopistoJyväskylän yliopistofi
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.date.updated2018-01-15T15:09:10Z
dc.type.coarhttp://purl.org/coar/resource_type/c_bdcc
dc.rights.accesslevelopenAccessfi
dc.type.publicationmasterThesis
dc.contributor.oppiainekoodi602
dc.subject.ysooptimointi
dc.subject.ysopäätöksenteko
dc.subject.ysoliikennejuopumus
dc.subject.ysotiedonlouhinta
dc.subject.ysokoneoppiminen
dc.format.contentfulltext
dc.rights.urlhttps://rightsstatements.org/page/InC/1.0/
dc.type.okmG2


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