| Título |
On Axiomatic Definition of Time Series Shape Association Measures |
| Tipo |
Congreso |
| Sub-tipo |
Memoria |
| Descripción |
ORADM 2012, Workshop on Operations Research and Data Mining |
| Resumen |
Different measures of similarity and associations between time series have been proposed in the literature on time series data mining. The main drawback of the most of similarity measures is the difficulty to use them for the analysis of inverse relationships between time series. In this paper, axiomatic definitions for two classes of measures called “time series shape similarity measures” and “time series shape association measures” are proposed. Rational properties that can be imposed on the proposed association measures are discussed. Examples of these measures are considered. |
| Observaciones |
https://oradm2012.files.wordpress.com/2012/03/art_4-1.pdf
https://oradm2012.wordpress.com/report-from-cancun/
https://oradm2012.wordpress.com/
|
| Lugar |
Cancún, Quintana Roo |
| País |
Mexico |
| No. de páginas |
117–127 |
| Vol. / Cap. |
|
| Inicio |
2012-03-11 |
| Fin |
2012-03-14 |
| ISBN/ISSN |
978-607-414-284-6 |
