Agent for Preprocessing and Forecasting Time-Series Data

Data aggregation is an important preprocessing step in knowledge discovery in databases collected from different sources. In this paper we propose an algorithm for currency data aggregation in order to learn with high accuracy the currency rate behavior and to increase the forecasting performance. The entire data mining process is automated and is monitored using a multi-agent system.