Article 6415

Title of the article



Bondarenko Igor Borisovich, Candidate of engineering sciences, associate professor, sub-department of computer system engineering and safety, Saint-Petersburg National Research University of Information Technologies, Mechanics and Optics (49 Kronverksky avenue, Saint-Petersburg, Russia),
Ivanov Aleksey Igorevich, Postgraduate student, Saint-Petersburg National Research University of Information Technologies, Mechanics and Optics (49 Kronverksky avenue, Saint-Petersburg, Russia),

Index UDK



Background. The research deals with distributed databases of computer-aided design systems with different data structures. The subject of the research is a process of knowledge discovery from these databases. The purpose of the study is to develop a subsystem’s structure of knowledge discovery from distributed heterogeneous databases.
Materials and methods. The state of distribution of data sources, the heterogeneity of data within them and the computational complexity of the analysis of large data stipulate implementation of the agent-based approach to achieving this goal.
Results. The organizational model of a multi-agent system of knowledge discovering from distributed heterogeneous databases is developed. The basic roles of agents and their interactions with each other are described.
Conclusions. The main part of the architecture of a subsystem of knowledge discovering from distributed heterogeneous sources is determined by two subsystems: a dataset preparing subsystem and a data mining subsystem. The main problems in development of this sub-class are due to different structures of data presented in local sources, as well as different accuracy, reliability and completeness of data.

Key words

data base, data mining, CAD, multi-agent systems, knowledge discovery, data fusion.

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Дата создания: 12.05.2016 11:32
Дата обновления: 12.05.2016 13:09