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This demo presents\n            <jats:italic>Flash<\/jats:italic>\n            ; a framework for\n            <jats:italic>generic<\/jats:italic>\n            and\n            <jats:italic>scalable<\/jats:italic>\n            spatial data analysis, with a special focus on spatial probabilistic graphical modelling (SPGM).\n            <jats:italic>Flash<\/jats:italic>\n            exploits Markov Logic Networks (MLN) to express SPGM as a set of declarative logical rules. In addition, it provides spatial variations of the scalable RDBMS-based learning and inference techniques of MLN to efficiently perform SPGM predictions. To show\n            <jats:italic>Flash<\/jats:italic>\n            effectiveness, we demonstrate three applications that use\n            <jats:italic>Flash<\/jats:italic>\n            in their SPGM: (1) Bird monitoring, (2) Safety analysis, and (3) Land use change tracking.\n          <\/jats:p>","DOI":"10.14778\/3352063.3352078","type":"journal-article","created":{"date-parts":[[2019,9,18]],"date-time":"2019-09-18T18:36:11Z","timestamp":1568831771000},"page":"1834-1837","source":"Crossref","is-referenced-by-count":5,"title":["Flash in action"],"prefix":"10.14778","volume":"12","author":[{"given":"Ibrahim","family":"Sabek","sequence":"first","affiliation":[{"name":"University of Minnesota"}]},{"given":"Mashaal","family":"Musleh","sequence":"additional","affiliation":[{"name":"University of Minnesota"}]},{"given":"Mohamed F.","family":"Mokbel","sequence":"additional","affiliation":[{"name":"Qatar Comp. Research Inst., HBKU, Qatar and University of Minnesota"}]}],"member":"320","published-online":{"date-parts":[[2019,8]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0102440"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.5194\/nhess-16-1323-2016"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-985X.2006.00440.x"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1974.tb00999.x"},{"key":"e_1_2_1_5_1","volume-title":"Spatial Implementation of Bayesian Networks. cran.r-project.org\/web\/packages\/bnspatial","year":"2019","unstructured":"bnspatial : Spatial Implementation of Bayesian Networks. cran.r-project.org\/web\/packages\/bnspatial , 2019 . bnspatial: Spatial Implementation of Bayesian Networks. cran.r-project.org\/web\/packages\/bnspatial, 2019."},{"key":"e_1_2_1_6_1","volume-title":"Modeling Spatial Dependencies for Mining Geospatial Data","author":"Chawla S.","year":"2001","unstructured":"S. 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