2013 IEEE 13th International Conference on Data Mining (2003)
Nov. 19, 2003 to Nov. 22, 2003
Sanjay Chawla , University of Sydney
Pei Sun , University of Sydney
Robert Munro , University of Sydney
This paper describes the need for mining complex relationships in spatial data. Complex relationships are defined as those involving two or more of: multi-feature colocation, self-colocation, one-to-many relationships, self-exclusion and multi-feature exclusion. We demonstrate that even in the mining of simple relationships, knowledge of complex relationships is necessary to accurately calculate the significance of results. We implement a representation of spatial data such that it contains known 'weak-monotonic' properties, which are exploited for the efficient mining of complex relationships, and discuss the strengths and limitations of this representation.
Sanjay Chawla, Pei Sun, Robert Munro, "Complex Spatial Relationships", 2013 IEEE 13th International Conference on Data Mining, vol. 00, no. , pp. 227, 2003, doi:10.1109/ICDM.2003.1250924