Please use this identifier to cite or link to this item: https://sci.ldubgd.edu.ua/jspui/handle/123456789/7393
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dc.contributor.authorМалець, Ігор Остапович-
dc.contributor.authorЛясковська, Соломія Євгенівна-
dc.contributor.authorСмотр, Ольга Олексіївна-
dc.contributor.authorКарабин, Оксана Олександрівна-
dc.date.accessioned2020-12-11T08:29:26Z-
dc.date.available2020-12-11T08:29:26Z-
dc.date.issued2020-08-21-
dc.identifier.isbn978-1-7281-3213-6-
dc.identifier.urihttp://sci.ldubgd.edu.ua:8080/jspui/handle/123456789/7393-
dc.description.abstractAbstract—the research deals with the issues of animation of the animation studio services market, and the advantages and disadvantages of their functioning, both for the ordinary user and from the developer. It made clear that it is appropriate to provide information to the client about two areas: pricing policy and content of services. The services automation methods within animation studios are researched using modern methods of Data Mining. It is proposed to build the work logic using data mining methods, Decision Trees methods, for the animation studio management services effective functioning. It is determined that in case of client priority search criteria choice is related to pricing policy, it makes sense to organize the operation of the animation studio management service based on the backtracking algorithm. In the case of client's search criteria choice priority are content-related topics of services, apply algorithms for constructing decision-making tree.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseriesIEEE Catalog Number: CFP20J13-USB;-
dc.subjectinformation technologyen_US
dc.subjectData Miningen_US
dc.subjectDecision Treesen_US
dc.subjectanimation studioen_US
dc.subjectentertainmenten_US
dc.titleIncreasing the Animation Study Management Services Functioning Efficiencyen_US
dc.typeArticleen_US
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