Please use this identifier to cite or link to this item: https://sci.ldubgd.edu.ua/jspui/handle/123456789/7393
Title: Increasing the Animation Study Management Services Functioning Efficiency
Authors: Малець, Ігор Остапович
Лясковська, Соломія Євгенівна
Смотр, Ольга Олексіївна
Карабин, Оксана Олександрівна
Keywords: information technology
Data Mining
Decision Trees
animation studio
entertainment
Issue Date: 21-Aug-2020
Publisher: IEEE
Series/Report no.: IEEE Catalog Number: CFP20J13-USB;
Abstract: Abstract—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.
URI: http://sci.ldubgd.edu.ua:8080/jspui/handle/123456789/7393
ISBN: 978-1-7281-3213-6
Appears in Collections:2020

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