Complex Spatial Relationships

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 co-location, self-co-location, one-tomany 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 ‘weak-monotonic’ properties, which are exploited for the efficient mining of complex relationships, and discuss the strengths and limitations of this representation.

• Type: Conference
• Year: 2003
• Where: ICDM
• Authors: Robert Munro, Sanjay Chawla, Pei Sun
• Keywords: Complex Relationships, Data Mining, ICDM 2003, Mining Complex Relationships, Spatial Data