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Using Markov Models to Mine Temporal and Spatial Data

Abstract : Markov models represent a powerful way to approach the problem of mining time and spatial signals whose variability is not yet fully understood. In this chapter, we will present a general methodology to mine different kinds of temporal and spatial signals having contrasting properties: continuous or discrete with few or many modalities. This methodology is based on a high order Markov modelling as implemented in a free software: carottAge (Gnu GPL)
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Contributor : Jean-François Mari Connect in order to contact the contributor
Submitted on : Thursday, February 17, 2011 - 10:24:52 AM
Last modification on : Tuesday, May 17, 2022 - 3:12:02 PM
Long-term archiving on: : Wednesday, May 18, 2011 - 2:38:51 AM


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  • HAL Id : inria-00566801, version 1


Jean-Francois Mari, Florence Le Ber, El-Ghali Lazrak, Marc Benoît, Catherine Eng, et al.. Using Markov Models to Mine Temporal and Spatial Data. Kimito Funatsu and Kiyoshi Hasegawa. New Fundamental Technologies in Data Mining, Intech, pp.561--584, 2011, 978-953-307-547-1. ⟨inria-00566801⟩



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