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Authors: John Chien-Han Tseng 1 ; Hsing-Kuo Pao 2 and Christos Faloutsos 3

Affiliations: 1 Central Weather Bureau, Taiwan ; 2 National Taiwan University of Science & Technology, Taiwan ; 3 Carnegie Mellon University, United States

ISBN: 978-989-8425-28-7

Keyword(s): Typhoon tracks, Trajectory data, ENSO, La Ni˜na, Tri-plots, Markov chain, Dissimilarity measure, Isomap, SSVM.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Clustering and Classification Methods ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining Multimedia Data ; Symbolic Systems

Abstract: We aim at understanding typhoon tracks by classifying them into the ENSO and La Niña types. Two methods, namely, tri-plots and Markov chain combined with a novel dissimilarity measure for trajectory data are proposed in this work. The calculation of the tri-plots can help us to separate ENSO from La Niña year typhoon tracks with the training error about 0.023 to 0.268 and the test error about 0.271 to 0.334. The Markov chain based dissimilarity measure, combined with the SSVM classifier can help us to classify tracks with the training error around 0.031 to 0.173 and the test error around 0.181 to 0.287. Moreover, for the purpose of visualization, the tri-plots or Markov chain-based method maps the typhoon track data into low dimensional space. In the space, the typhoon tracks of small dissimilarity should be regarded as one group. The map can be very helpful for catching the hidden pattern of ENSO and La Niña atmospheric circulation for establishing typhoon databases. In general, we b elieve that tri-plots and Markov chain-based method are useful tools for the typhoon track classification problem and should merit further investigation in related research community. (More)

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Paper citation in several formats:
Chien-Han Tseng, J.; Chien-Han Tseng, J.; Pao, H. and Faloutsos, C. (2010). THE TYPHOON TRACK CLASSIFICATION USING TRI-PLOTS AND MARKOV CHAIN.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010) ISBN 978-989-8425-28-7, pages 364-369. DOI: 10.5220/0003114303640369

@conference{kdir10,
author={John Chien{-}Han Tseng. and John Chien{-}Han Tseng. and Hsing{-}Kuo Pao. and Christos Faloutsos.},
title={THE TYPHOON TRACK CLASSIFICATION USING TRI-PLOTS AND MARKOV CHAIN},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010)},
year={2010},
pages={364-369},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003114303640369},
isbn={978-989-8425-28-7},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010)
TI - THE TYPHOON TRACK CLASSIFICATION USING TRI-PLOTS AND MARKOV CHAIN
SN - 978-989-8425-28-7
AU - Chien-Han Tseng, J.
AU - Chien-Han Tseng, J.
AU - Pao, H.
AU - Faloutsos, C.
PY - 2010
SP - 364
EP - 369
DO - 10.5220/0003114303640369

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