Wang, L, Zhou, L, Lu, J and Yip, YJ 2009, 'An order-clique-based approach for mining maximal co-locations' , Information Sciences, 179 (19) , pp. 3370-3382.Full text not available from this repository.
Most algorithms for mining spatial co-locations adopt an Apriori-like approach to generate size-k prevalence co-locations after size-(k − 1) prevalence co-locations. However, generating and storing the co-locations and table instances is costly. A novel order-clique-based approach for mining maximal co-locations is proposed in this paper. The efficiency of the approach is achieved by two techniques: (1) the spatial neighbor relationships and the size-2 prevalence co-locations are compressed into extended prefix-tree structures, which allows the order-clique-based approach to mine candidate maximal co-locations and co-location instances; and (2) the co-location instances do not need to be stored after computing some characteristics of the corresponding co-location, which significantly reduces the execution time and space required for mining maximal co-locations. The performance study shows that the new method is efficient for mining both long and short co-location patterns, and is faster than some other methods (in particular the join-based method and the join-less method).
|Themes:||Subjects outside of the University Themes|
|Schools:||Schools > No Research Centre|
|Journal or Publication Title:||Information Sciences|
|Depositing User:||Users 29196 not found.|
|Date Deposited:||29 Aug 2012 14:13|
|Last Modified:||30 Nov 2015 23:58|
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