The Architecture of a Distributed System for Data Mining Based on Cases

Abstract

The article addresses matters concerned with developing the architecture of a distributed data mining system using case-based reasoning. Currently, due to the development and availability of cloud technologies, one of the most promising areas in the field of artificial intelligence is the development of distributed intelligent systems (DIS). These systems are characterized by a distribution of computing and information resources, which results in more efficient performance of the system due to the possibility to simultaneously process a large amount of data. It is proposed to construct a DIS according to the principle of multi-agent systems (MAS) consisting of autonomous nodes (agents). The article presents the DIS architecture constructed on the basis of intelligent agents and consisting of blocks representing a set of microservices. Matters concerned with software implementation of the case-based block microservices are discussed in detail.