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Discovering co-location patterns with aggregated spatial transactions and dependency rules
2017
International Journal of Data Science and Analytics
Co-location pattern mining focuses on finding associations among spatial features. Existing co-location pattern mining techniques mainly rely on frequency based thresholds which discard the rare patterns and find the noisy patterns. This could be avoided by evaluating co-location patterns based on their statistical significance. Recent studies focused on association rule mining have successfully adopted statistical tests to find significant rules. By transforming spatial data to transaction
doi:10.1007/s41060-017-0079-5
dblp:journals/ijdsa/JabbarBZO18
fatcat:dsqwtkvllzdt7po4jrs3h4kgra