Title :
Complex spatial relationships
Author :
Munro, Robert ; Chawla, Sanjay ; Sun, Pei
Author_Institution :
Sch. of Inf. Technol., Sydney Univ., NSW, Australia
Abstract :
We describe the need for mining complex relationships in spatial data. Complex relationships are defined as those involving two or more of: multifeature colocation, self-colocation, one-to-many relationships, self-exclusion and multifeature 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.
Keywords :
data mining; statistical analysis; visual databases; complex relationship; data mining; multifeature colocation; one-to-many relationship; self colocation; spatial data; weak monotonic property; Animals; Association rules; Data mining; Fires; Frequency measurement; Information technology; Sun;
Conference_Titel :
Data Mining, 2003. ICDM 2003. Third IEEE International Conference on
Print_ISBN :
0-7695-1978-4
DOI :
10.1109/ICDM.2003.1250924
