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dc.contributor.advisorTerziyan, Vagan
dc.contributor.authorRahaman, Md
dc.date.accessioned2017-05-31T15:01:17Z
dc.date.available2017-05-31T15:01:17Z
dc.date.issued2017
dc.identifier.otheroai:jykdok.linneanet.fi:1702898
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/54224
dc.description.abstractCollecting debt bills from different types of organizations and people is always a challenging task. And for that as a debt collector company you need to have a very smart way to collect money. There has been not been too many research done on analysis of debtor behavior to get some generalized information in Finland. As a result, most organizations have to have their own analytics team to set proper business strategy for any debt. We get lots of classified data from different sources regarding debtor’s basic information, detail debt information, payment information and many other information. From thousands of variables, we find out the important variables and build a model. Later data is analyzed with these models and each case is given a rating value, by which business decisions can be made. And time to time the cash flow and other business factor is monitored to evaluate the performance of that model. To conclude, proper and accurate analysis is important before taking any business decision.en
dc.format.extent1 verkkoaineisto (59 sivua)
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.rightsJulkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty.fi
dc.rightsThis publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.en
dc.subject.otherdata mining
dc.subject.otherdebtor
dc.subject.othercase
dc.subject.otherprediction and classification methods.
dc.titleData mining methodology and application in debt collection industries
dc.identifier.urnURN:NBN:fi:jyu-201705312603
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.laitosInformaatioteknologiafi
dc.contributor.yliopistoUniversity of Jyväskyläen
dc.contributor.yliopistoJyväskylän yliopistofi
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.date.updated2017-05-31T15:01:17Z
dc.rights.accesslevelrestrictedAccessfi
dc.type.publicationmasterThesis
dc.contributor.oppiainekoodi602
dc.subject.ysotiedonlouhinta
dc.subject.ysovelat
dc.subject.ysovelallinen
dc.subject.ysoanalyysi
dc.format.contentfulltext
dc.rights.accessrightsAineistoon pääsyä on rajoitettu tekijänoikeussyistä. Aineisto on luettavissa Jyväskylän yliopiston kirjaston arkistotyöasemalta. Ks. https://kirjasto.jyu.fi/fi/tyoskentelytilat/laitteet-ja-tilat.fi
dc.rights.accessrightsThis material has a restricted access due to copyright reasons. It can be read at the workstation at Jyväskylä University Library reserved for the use of archival materials: https://kirjasto.jyu.fi/en/workspaces/facilities.en
dc.type.okmG2


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