Sequential Data

doi:10.1007/978-0-387-30164-8_754

Sequential Data

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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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School of Computer Science and Engineering, University of New South Wales, Sydney, Australia, 2052
Claude Sammut
Faculty of Information Technology, Clayton School of Information Technology, Monash University, P.O. Box 63, Victoria, Australia, 3800
Geoffrey I. Webb

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(2011). Sequential Data. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-30164-8_754

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DOI: https://doi.org/10.1007/978-0-387-30164-8_754
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-30768-8
Online ISBN: 978-0-387-30164-8
eBook Packages: Computer ScienceReference Module Computer Science and Engineering