Case-based curve behaviour prediction

Authors:
Vladimir Kurbalija;Mirjana Ivanović;Zoran Budimac
Affiliations:
Department of Mathematics and Informatics, Faculty of Science, University of Novi Sad, Trg D. Obradović a 4, 21000 Novi Sad, Serbia;Department of Mathematics and Informatics, Faculty of Science, University of Novi Sad, Trg D. Obradović a 4, 21000 Novi Sad, Serbia;Department of Mathematics and Informatics, Faculty of Science, University of Novi Sad, Trg D. Obradović a 4, 21000 Novi Sad, Serbia
Venue:
Software—Practice & Experience
Year:
2009

Citing 0
Cited 4

A framework for time-series analysis

AIMSA'10 Proceedings of the 14th international conference on Artificial intelligence: methodology, systems, and applications
Integration of similarity measurement and dynamic SVM for electrically evoked potentials prediction in visual prostheses research

Expert Systems with Applications: An International Journal
Case based time series prediction using biased time warp distance for electrical evoked potential forecasting in visual prostheses

Applied Soft Computing
The influence of global constraints on similarity measures for time-series databases

Knowledge-Based Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Case-based reasoning (CBR) is the area of artificial intelligence where problems are solved by adapting solutions that worked for similar problems from the past. This technique can be applied in different domains and with different problem representations. In this paper, a system curve base generator (CuBaGe) is presented. This framework is designed to be a domain-independent prediction system for the analysis and prediction of curves and time-series trends, based on the CBR technology. CuBaGe employs a novel curve representation method based on splines and a corresponding similarity function based on definite integrals. This combination of curve representation and similarity measure showed excellent results with sparse and non-equidistant time series, which is demonstrated through a set of experiments. Copyright © 2008 John Wiley & Sons, Ltd.