Abstract
Pattern recognition, matching or discovery are terms associated with the comparison of an input query, a pattern, with a time series sequence. These input queries can be patterns similar to those presented in Chen (Essentials of Technical Analysis for Financial Markets, 2010 [1]) or user-defined ones. Although focus will be in pattern matching techniques applied to financial time series, these techniques proved to be very versatile and expandable to different areas, going from the medical sector with applications in Electrocardiogram (ECG) Chen et al. (Comput Methods Programs Biomed 74:11–27, 2004 [2]) to the energy sector with forecasting and modelling of buildings energetic profile Iglesias and Kastner (Energies 6:579, 2013 [3]).
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Baúto, J., Neves, R., Horta, N. (2018). State-of-the-Art in Pattern Recognition Techniques. In: Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-73329-6_3
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DOI: https://doi.org/10.1007/978-3-319-73329-6_3
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