The Community for Technology Leaders
RSS Icon
Subscribe
Hong Kong, China
Dec. 18, 2006 to Dec. 22, 2006
ISBN: 0-7695-2702-7
pp: 343-348
Ira Assent , RWTH Aachen University, Germany
Ralph Krieger , RWTH Aachen University, Germany
Ralph Krieger , RWTH Aachen University, Germany
Boris Glavic , RWTH Aachen University, Germany
Thomas Seidl , 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.
INDEX TERMS
null
CITATION
Ira Assent, Ralph Krieger, Ralph Krieger, Boris Glavic, Thomas Seidl, "Spatial Multidimensional Sequence Clustering", ICDMW, 2006, 2013 IEEE 13th International Conference on Data Mining Workshops, 2013 IEEE 13th International Conference on Data Mining Workshops 2006, pp. 343-348, doi:10.1109/ICDMW.2006.153
18 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool