Modeling data mining processes in computational multi-agent systems

Abstract

In this paper, we formalize the role-based model of computational multi-agent system (MAS) solving data mining tasks in description logic (DL). MAS represents a promising approach for complicated data mining tasks due to its configuration flexibility and parallel processing.

This is exploited in encapsulation of computational modeling, pre-processing and post-processing methods reflecting industrial standard specifications. The ontology of computational agents'' capabilities is proposed and included in the model.

The ontology agent, which implements the DL model, supports matchmaking, system integrity checking and automated creation of the system.

Keywords

• Data mining
• computational MAS
• roles
• description logic
• pre-processing
• ontology
• closed-world assumption