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    Author information
    First name: Christoph F.
    Last name: Eick
    DBLP: e/CFEick
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    Below you find the publications which have been written by this author.

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    Conference paper
    Yongli Zhang, Sujing Wang, Amar Mani Aryal, Christoph F. Eick.
    "Serial" versus "Parallel": A Comparison of Spatio-Temporal Clustering Approaches.
    Foundations of Intelligent Systems - 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Paul K. Amalaman, Christoph F. Eick, Chong Wang.
    Supervised Taxonomies - Algorithms and Applications.
    IEEE Trans. Knowl. Data Eng. 2017, Volume 29 (0) 2017
    Conference paper
    Yongli Zhang, Christoph F. Eick.
    ST-COPOT: Spatio-temporal Clustering with Contour Polygon Trees.
    Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2017, Redondo Beach, CA, USA, November 7-10, 2017 2017 (0) 2017
    Conference paper
    Fatih Akdag, Christoph F. Eick.
    Interestingness Hotspot Discovery in Spatial Datasets Using a Graph-Based Approach.
    Machine Learning and Data Mining in Pattern Recognition - 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Yongli Zhang, Christoph F. Eick.
    ST-DCONTOUR: a serial, density-contour based spatio-temporal clustering approach to cluster location streams.
    Proceedings of the 7th ACM SIGSPATIAL International Workshop on GeoStreaming, IWGS@SIGSPATIAL 2016, Burlingame, California, USA, October 31 - November 3, 2016 2016 (0) 2016
    Conference paper
    Paul K. Amalaman, Christoph F. Eick.
    Avalanche: A Hierarchical, Divisive Clustering Algorithm.
    Machine Learning and Data Mining in Pattern Recognition - 11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015, Proceedings 2015 (0) 2015
    Conference paper
    Paul K. Amalaman, Christoph F. Eick.
    HC-edit: A Hierarchical Clustering Approach to Data Editing.
    Foundations of Intelligent Systems - 22nd International Symposium, ISMIS 2015, Lyon, France, October 21-23, 2015, Proceedings 2015 (0) 2015
    Conference paper
    Fatih Akdag, Christoph F. Eick.
    An optimized interestingness hotspot discovery framework for large gridded spatio-temporal datasets.
    2015 IEEE International Conference on Big Data, Big Data 2015, Santa Clara, CA, USA, October 29 - November 1, 2015 2015 (0) 2015
    Conference paper
    Sujing Wang, Christoph F. Eick.
    A polygon-based clustering and analysis framework for mining spatial datasets.
    GeoInformatica 2014, Volume 18 (0) 2014
    Conference paper
    Fatih Akdag, Christoph F. Eick, Guoning Chen.
    Creating Polygon Models for Spatial Clusters.
    Foundations of Intelligent Systems - 21st International Symposium, ISMIS 2014, Roskilde, Denmark, June 25-27, 2014. Proceedings 2014 (0) 2014
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