Modeling of Animator Studio Control Service Functionality Using Data Mining Tools

Abstract

The research addresses to the animation studio services issues, advantages and disadvantages of their functioning, both for the ordinary user and the developer. It makes sense to provide the client with information 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 create 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. It is proposed to solve the problem of comparing the services of different animation studios, their pricing policy, location, etc. by building a composite web application - data mashup of children’s animation studios.