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2013 IEEE 13th International Conference on Data Mining Workshops (2006)
Hong Kong, China
Dec. 18, 2006 to Dec. 22, 2006
ISBN: 0-7695-2702-7
pp: 343-348
Ralph Krieger , RWTH Aachen University, Germany
Ralph Krieger , RWTH Aachen University, Germany
Thomas Seidl , RWTH Aachen University, Germany
Boris Glavic , RWTH Aachen University, Germany
Ira Assent , RWTH Aachen University, Germany
ABSTRACT
Measurements at different time points and positions in large temporal or spatial databases requires effective and efficient data mining techniques. For several parallel measurements, finding clusters of arbitrary length and number of attributes, poses additional challenges. We present a novel algorithm capable of finding parallel clusters in different structural quality parameter values for river sequences used by hydrologists to develop measures for river quality improvements.
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CITATION
Ralph Krieger, Ralph Krieger, Thomas Seidl, Boris Glavic, Ira Assent, "Spatial Multidimensional Sequence Clustering", 2013 IEEE 13th International Conference on Data Mining Workshops, vol. 00, no. , pp. 343-348, 2006, doi:10.1109/ICDMW.2006.153
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