Data mining tools in agent-based systems: A comparative analysis

The acceptance and use of open source tools has changed dramatically as a result of global technological progress. Because most businesses across the world deal with a significant quantity of data that has to be updated online on a regular basis, and transactions happen every second, organizing, mining, and processing this dynamic data is very difficult. A thorough examination of the different tools and algorithms accessible to data mining specialists is required for successful application of the method. This paper compares the open source data mining technologies that are accessible to experts. The parameters that influence the selection of appropriate tools, as well as the real-time difficulties, are addressed. Agents, on the other hand, have been shown to improve the performance of data mining tools. This paper offers details on an agent-based architecture for data preparation, as well as implementation details, in order to help the industry create better tools. Integration of open source data mining tools with agent simulation allows for the implementation of an effective data preparation architecture, resulting in an application with strong capabilities that can be updated with little preplanning from the application developer.