AN EXTENSIBLE ENSEMBLE ENVIRONMENT FOR TIME SERIES FORECASTING

被引：0

作者：

Ribeiro, Claudio ^{[1
]}

Goldschmidt, Ronaldo ^{[1
]}

Choren, Ricardo ^{[1
]}

机构：

[1] Mil Inst Engn, Dept Comp Engn, Rio De Janeiro, RJ, Brazil

来源：

ICEIS 2010: PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL 2: ARTIFICIAL INTELLIGENCE AND DECISION SUPPORT SYSTEMS | 2010年

关键词：

Time Series Forecasting; Ensembles; Software Tool; Data Mining;

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：

There have been diverse works demonstrating that ensembles can improve the performance over any individual solution for time series forecasting. This work presents an extensible environment that can be used to create, experiment and analyse ensembles for time series forecasting. Usually, the analyst develops the individual solution and the ensemble algorithms for each experiment. The proposed environment intends to provide a flexible tool for the analyst to include, configure and experiment with individual solutions and to build and execute ensembles. In this paper, we describe the environment, its features and we present a simple experiment on its usage.

引用

页码：404 / 407

页数：4

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