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[{"key": "dc.contributor.advisor", "value": "Marttiin, Pentti", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Jaara, Akseli", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2023-04-18T05:42:36Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2023-04-18T05:42:36Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2023", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/86387", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "T\u00e4ss\u00e4 kirjallisuuskatsauksessa k\u00e4sitell\u00e4\u00e4n koneoppimisen hy\u00f6dynt\u00e4mist\u00e4 BI-j\u00e4rjestelmien hy\u00f6tyjen edist\u00e4misen n\u00e4k\u00f6kulmasta. Koneoppiminen ja sen algoritmit ovat alati kehittyv\u00e4 tapa k\u00e4sitell\u00e4 suuria m\u00e4\u00e4ri\u00e4 dataa tavoitteenaan joko kuvailla k\u00e4ytetty\u00e4 aineistoa tai tehd\u00e4 p\u00e4\u00e4telmi\u00e4 tulevaisuuteen sen pohjalta. N\u00e4ille metodeille kehitet\u00e4\u00e4n jatkuvasti uusia k\u00e4yt\u00e4nn\u00f6n sovelluksia reaalimaailman ilmi\u00f6iden tarkastelemiseksi. Yksi koneoppimisen k\u00e4ytt\u00f6kohteista on liiketoimintadatan hy\u00f6dynt\u00e4minen, ja t\u00e4m\u00e4 tutkielma keskittyy koneoppimismallien hy\u00f6dynt\u00e4miseen juuri BI-j\u00e4rjestelmien hy\u00f6tyjen kehitt\u00e4misen n\u00e4k\u00f6kulmasta. Yksi t\u00e4rkeimmist\u00e4 l\u00f6yd\u00f6ist\u00e4 t\u00e4ss\u00e4 tutkimuksessa on saatavilla olevan aineiston perusteella koneoppimismallien t\u00e4m\u00e4nhetkisen hy\u00f6dynt\u00e4misen kartoittaminen l\u00e4hdeaineistossa esiintyvien BI-j\u00e4rjestelmien hy\u00f6tyjen suhteen. Erityisesti ennustavia malleja hy\u00f6dynnet\u00e4\u00e4n ja niiden k\u00e4ytt\u00f6\u00e4 kehitet\u00e4\u00e4n BI:ss\u00e4 tehokkaasti, mutta kuvailevia malleja ja niiden hy\u00f6dynt\u00e4mist\u00e4 on tutkittu v\u00e4h\u00e4n ottaen huomioon kuvailevien koneoppimismallien hy\u00f6dynt\u00e4misen potentiaalin dataohjautuvassa liiketoiminnan kehitt\u00e4misess\u00e4.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "This literature review discusses utilization of machine learning methods in business intelligence systems on the viewpoint of benefits of business intelligence systems. Machine learning and the algorithms themselves are continuously evolving way of processing massive amounts of data in order to either produce descriptions or predictions based on available datasets. These algorithms have more and more real-life implementations, and one of those implementations is the business intelligence system improvement, and this thesis focuses on these implementations of the beneficial viewpoint of business intelligence systems. One of the most important findings of this research based on available literature is the mapping of the current utilization of machine learning methods on business intelligence systems\u2019 benefits. Especially predictive methods have been studied and developed efficiently; however, the descriptive models and their utilization has been studied very little regarding to the vast amount of possibilities of descriptive machine learning methods on data-driven business development.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Paivi Vuorio (paelvuor@jyu.fi) on 2023-04-18T05:42:36Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2023-04-18T05:42:36Z (GMT). No. of bitstreams: 0\n Previous issue date: 2023", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "27", "language": "", "element": "format", "qualifier": "extent", "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": "business intelligence benefits", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Machine learning methods utilization in business intelligence systems", "language": "", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "bachelor thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202304182511", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Bachelor's thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Kandidaatinty\u00f6", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Informaatioteknologia", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Information Technology", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietoj\u00e4rjestelm\u00e4tiede", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Information Systems Science", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_7a1f", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "bachelorThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "601", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "koneoppiminen", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "business intelligence", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "machine learning", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "business intelligence", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}]
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