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Mixed-Drove Spatio-Temporal Co-occurence Pattern Mining: A Summary of Results
IEEE International Conference on Data Mining. Proceedings
Mixed-drove spatio-temporal co-occurrence patterns (MDCOPs) represent subsets of object-types that are located together in space and time. Discovering MDCOPs is an important problem with many applications such as identifying tactics in battlefields, games, and predator-prey interactions. However, mining MDCOPs is computationally very expensive because the interest measures are computationally complex, datasets are larger due to the archival history, and the set of candidate patterns isdoi:10.1109/icdm.2006.112 dblp:conf/icdm/CelikSRSY06 fatcat:aciwiauo25g4jneuoguafhpyoq