IEEE - Institute of Electrical and Electronics Engineers, Inc. - Mining Maximal Generalized Frequent Geographic Patterns with Knowledge Constraints

Sixth International Conference on Data Mining (ICDM'06)

Author(s): V. Bogorny ; J. Valiati ; S. Camargo ; P. Engel ; B. Kuijpers ; L.O. Alvares
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 December 2006
Conference Location: Hong Kong, China
Conference Date: 18 December 2006
Page(s): 813 - 817
ISBN (Paper): 0-7695-2701-7
ISSN (Paper): 1550-4786
DOI: 10.1109/ICDM.2006.110
Regular:

In frequent geographic pattern mining a large amount of patterns is well known a priori. This paper presents a novel approach for mining frequent geographic patterns without associations that are... View More

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