A framework of spatial co-location pattern mining for ubiquitous GIS |
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Authors: | Seung Kwan Kim Jee Hyung Lee Keun Ho Ryu Ungmo Kim |
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Affiliation: | 1. School of Information and Communication Engineering, Sungkyunkwan University, Suwon, Republic of Korea 2. Database /Bioinformatics Laboratory, School of Electrical and Computer Engineering, Chungbuk National University, Cheongju, Republic of Korea
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Abstract: | A spatial co-location pattern represents relationships between spatial features that are frequently located in close proximity to one another. Such a pattern is one of the most important concepts for geographic context awareness of ubiquitous Geographic Information System (GIS). We constructed a framework for co-location pattern mining using the transaction-based approach, which employs maximal cliques as a transaction-type dataset; we first define transaction-type data and verify that the definition satisfies the requirements, and we also propose an efficient way to generate all transaction-type data. The constructed framework can play a role as a theoretical methodology of co-location pattern mining, which supports geographic context awareness of ubiquitous GIS. |
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