Aggregation Agent for Preprocessing and Forecasting Time-Series Data

被引：0

作者：

Muntean, Maria Viorela ^{[1
]}

Onita, Daniela ^{[1
]}

机构：

[1] 1 Decembrie 1918 Univ Alba Iulia, Exact Sci & Engn Dept, Alba Iulia, Romania

来源：

PROCEEDINGS OF THE 2018 10TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI) | 2018年

关键词：

forecasting; aggregation; intelligent agents; time-series data;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页数：4

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