TY - GEN
T1 - How to select an appropriate similarity measure
T2 - 5th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2016
AU - Batyrshin, Ildar
AU - Dumrongpokaphan, Thongchai
AU - Kreinovich, Vladik
AU - Kosheleva, Olga
N1 - Publisher Copyright:
© Springer International Publishing AG 2016.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85006021701&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-49046-5_39
DO - 10.1007/978-3-319-49046-5_39
M3 - Contribución a la conferencia
SN - 9783319490458
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 457
EP - 468
BT - Integrated Uncertainty in Knowledge Modelling and Decision Making - 5th International Symposium, IUKM 2016, Proceedings
A2 - Le, Bac
A2 - Le, Bao Nguyen
A2 - Denoeux, Thierry
A2 - Huynh, Van-Nam
A2 - Inuiguchi, Masahiro
PB - Springer Verlag
Y2 - 30 November 2016 through 2 December 2016
ER -