DocumentCode
2127810
Title
Evaluation on Forecasting Algorithms of Time Series
Author
Lang, Rongling ; Lv, Yongle ; Cui, Qunfa
Author_Institution
Sch. of Electron. & Inf. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
fYear
2009
fDate
20-22 Sept. 2009
Firstpage
1
Lastpage
4
Abstract
Time series forecasting exists in a lot of fields, and many forecasting algorithms were proposed at present. How to evaluate forecasting algorithm is requested in algorithm analysis. The techniques of evaluation of forecasting are studied here, and a novel measure, relative degree of association, is also proposed to evaluate forecasting algorithm. Some experimental results using these measures give performances of these measures in evaluating forecasting algorithms.
Keywords
forecasting theory; time series; novel measure; relative degree-of-association; time series forecasting algorithm; Algorithm design and analysis; Data mining; Economic forecasting; Extraterrestrial measurements; Finance; Pattern analysis; Performance evaluation; Root mean square; Time measurement; Time series analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4638-4
Electronic_ISBN
978-1-4244-4639-1
Type
conf
DOI
10.1109/ICMSS.2009.5303080
Filename
5303080
Link To Document