Using Empirical Recurrence Rates Ratio for Time Series Data Similarity
Several methods exist in classification literature to quantify the similarity between two time series data sets. Applications of these methods range from the traditional Euclidean-type metric to the more advanced Dynamic Time Warping metric. Most of these adequately address structural similarity but...
Main Authors: | Moinak Bhaduri, Justin Zhan |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8360428/ |
Similar Items
-
Boolean logic algebra driven similarity measure for text based applications
by: Hassan I. Abdalla, et al.
Published: (2021-07-01) -
Recurrent Neural Networks and ARIMA Models for Euro/Dollar Exchange Rate Forecasting
by: Pedro Escudero, et al.
Published: (2021-06-01) -
Analysis of risk factors for Tuberculosis Recurrence using a population-based TB/HIV integrated surveillance database in Chiang Rai, Thailand
by: Wu, Xuan
Published: (2010) -
A set theory based similarity measure for text clustering and classification
by: Ali A. Amer, et al.
Published: (2020-09-01) -
How are functionally similar code clones syntactically different? An empirical study and a benchmark
by: Stefan Wagner, et al.
Published: (2016-03-01)