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    Author information
    First name: Eamonn J.
    Last name: Keogh
    DBLP: k/EamonnJKeogh
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    Below you find the publications which have been written by this author.

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    Journal article
    Usue Mori, Alexander Mendiburu, Eamonn J. Keogh, José Antonio Lozano.
    Reliable early classification of time series based on discriminating the classes over time.
    Data Min. Knowl. Discov. 2017, Volume 31 (0) 2017
    Journal article
    Mohammad Shokoohi-Yekta, Bing Hu 0001, Hongxia Jin, Jun Wang, Eamonn J. Keogh.
    Generalizing DTW to the multi-dimensional case requires an adaptive approach.
    Data Min. Knowl. Discov. 2017, Volume 31 (0) 2017
    Conference paper
    Eamonn J. Keogh.
    Nearest Neighbor.
    Encyclopedia of Machine Learning and Data Mining 2017 (0) 2017
    Conference paper
    Eamonn J. Keogh.
    Time Series.
    Encyclopedia of Machine Learning and Data Mining 2017 (0) 2017
    Conference paper
    Eamonn J. Keogh, Abdullah Mueen.
    Curse of Dimensionality.
    Encyclopedia of Machine Learning and Data Mining 2017 (0) 2017
    Conference paper
    Eamonn J. Keogh.
    Instance-Based Learning.
    Encyclopedia of Machine Learning and Data Mining 2017 (0) 2017
    Conference paper
    Anthony J. Bagnall, Jason Lines, Aaron Bostrom, James Large, Eamonn J. Keogh.
    The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances.
    Data Min. Knowl. Discov. 2017, Volume 31 (0) 2017
    Book chapter
    Eamonn J. Keogh.
    Indexing and Mining Time Series Data.
    Encyclopedia of GIS. 2017 (0) 2017
    Conference paper
    Yilin Shen, Yanping Chen 0005, Eamonn J. Keogh, Hongxia Jin.
    Searching Time Series with Invariance to Large Amounts of Uniform Scaling.
    33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017 2017 (0) 2017
    Conference paper
    Yifei Ding, Eamonn J. Keogh.
    Query Suggestion to allow Intuitive Interactive Search in Multidimensional Time Series.
    Proceedings of the 29th International Conference on Scientific and Statistical Database Management, Chicago, IL, USA, June 27-29, 2017 2017 (0) 2017
    Show item 1 to 10 of 218  

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