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Sequential Data refers to any data that contain elements that are ordered into sequences. Examples include time series, DNA sequences (see biomedical informatics) and sequences of user actions. Techniques for learning from sequential data include Markov models, Conditional Random Fields and time series techniques.
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(2017). Sequential Data. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_754
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DOI: https://doi.org/10.1007/978-1-4899-7687-1_754
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Publisher Name: Springer, Boston, MA
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