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Author Adilmagambetov, Aibek ♦ Zaiane, Osmar R. ♦ Osornio-Vargas, Alvaro
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Extended Spatial Object ♦ Co-location Pattern ♦ Previous Work ♦ Grid Transactionization ♦ Significant Co-location Pattern ♦ Close Proximity ♦ Geographic Space ♦ Co-location Mining ♦ Spatial Feature ♦ Statistical Test ♦ Global Threshold ♦ Transaction-free Apriori-like Algorithm ♦ Spatial Data Mining
Abstract Abstract. Co-location mining is one of the tasks of spatial data mining, which focuses on the detection of the sets of spatial features frequently located in close proximity of each other. Previous work is based on transaction-free apriori-like algorithms. The approach we propose is based on a grid transactionization of geographic space and designed to mine datasets with extended spatial objects. A statistical test is used instead of global thresholds to detect significant co-location patterns. 1
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article