Autores
Batyrshin Ildar

Título	How to Select an Appropriate Similarity Measure: Towards a Symmetry-Based Approach
Tipo	Congreso
Sub-tipo	Memoria
Descripción	5th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2016
Resumen	When practitioners analyze the similarity between time series, they often use correlation to gauge this similarity. Sometimes this works, but sometimes, this leads to counter-intuitive results, in which case other similarity measures are more appropriate. An important question is how to select an appropriate similarity measures. In this paper, we show, on simple examples, that the use of natural symmetries – scaling and shift – can help with such a selection.
Observaciones	DOI 10.1007/978-3-319-49046-5_39 https://link.springer.com/chapter/10.1007%2F978-3-319-49046-5_39 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) v. 9978
Lugar	Da Nang
País	Vietnam
No. de páginas	457-468
Vol. / Cap.
Inicio	2016-11-30
Fin	2016-12-02
ISBN/ISSN	9783319490458