{"id":"https://openalex.org/W2469268901","doi":"https://doi.org/10.1145/2835185.2835192","title":"Elliptical Hotspot Detection","display_name":"Elliptical Hotspot Detection","publication_year":2015,"publication_date":"2015-11-03","ids":{"openalex":"https://openalex.org/W2469268901","doi":"https://doi.org/10.1145/2835185.2835192","mag":"2469268901"},"language":"en","primary_location":{"id":"doi:10.1145/2835185.2835192","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2835185.2835192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International ACM SIGSPATIAL Workshop on Analytics for Big Geospatial Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101892740","display_name":"Xun Tang","orcid":"https://orcid.org/0000-0003-0317-9176"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xun Tang","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Minnesota"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Minnesota","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015734523","display_name":"Emre Eftelioglu","orcid":"https://orcid.org/0000-0002-5551-0046"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emre Eftelioglu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Minnesota"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Minnesota","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037233397","display_name":"Shashi Shekhar","orcid":"https://orcid.org/0000-0001-8837-192X"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shashi Shekhar","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Minnesota"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Minnesota","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101892740"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":0.6542,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.74276572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"15","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hotspot","display_name":"Hotspot (geology)","score":0.891277551651001},{"id":"https://openalex.org/keywords/ellipse","display_name":"Ellipse","score":0.6744040250778198},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6636655330657959},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.542472779750824},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5099848508834839},{"id":"https://openalex.org/keywords/euclidean-space","display_name":"Euclidean space","score":0.4677000045776367},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.4673025608062744},{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.4614260494709015},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45342162251472473},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34258097410202026},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31165987253189087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23247110843658447},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.18107107281684875},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11118030548095703},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10382631421089172},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.0838954746723175}],"concepts":[{"id":"https://openalex.org/C146481406","wikidata":"https://www.wikidata.org/wiki/Q105131","display_name":"Hotspot (geology)","level":2,"score":0.891277551651001},{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.6744040250778198},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6636655330657959},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.542472779750824},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5099848508834839},{"id":"https://openalex.org/C186450821","wikidata":"https://www.wikidata.org/wiki/Q17295","display_name":"Euclidean space","level":2,"score":0.4677000045776367},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.4673025608062744},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.4614260494709015},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45342162251472473},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34258097410202026},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31165987253189087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23247110843658447},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.18107107281684875},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11118030548095703},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10382631421089172},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0838954746723175},{"id":"https://openalex.org/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2835185.2835192","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2835185.2835192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International ACM SIGSPATIAL Workshop on Analytics for Big Geospatial Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.5699999928474426}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320309636","display_name":"University of Minnesota","ror":"https://ror.org/03grvy078"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W222325065","https://openalex.org/W599861381","https://openalex.org/W1673310716","https://openalex.org/W1977496278","https://openalex.org/W2002151188","https://openalex.org/W2032193155","https://openalex.org/W2042659752","https://openalex.org/W2083772019","https://openalex.org/W2127218421","https://openalex.org/W2141115288","https://openalex.org/W2141935561","https://openalex.org/W2145023731","https://openalex.org/W2299467264","https://openalex.org/W2971301549","https://openalex.org/W3003734944","https://openalex.org/W4241634004","https://openalex.org/W6990928258"],"related_works":["https://openalex.org/W2090152127","https://openalex.org/W1965169884","https://openalex.org/W3125580510","https://openalex.org/W2008939113","https://openalex.org/W14679004","https://openalex.org/W1566651525","https://openalex.org/W2977652649","https://openalex.org/W2318206461","https://openalex.org/W37157938","https://openalex.org/W2105228010"],"abstract_inverted_index":{"Given":[0],"a":[1,8,15,106],"set":[2],"of":[3,30,86,88,99,145],"points":[4],"in":[5],"Euclidean":[6],"space,":[7],"minimum":[9],"log":[10,90],"likelihood":[11,91],"ratio":[12],"threshold,":[13,18],"and":[14,51,65,83,97],"statistical":[16],"significance":[17],"Elliptical":[19],"Hotspot":[20],"Detection":[21],"(EHD)":[22],"finds":[23],"elliptical":[24],"hotspot":[25],"areas":[26],"where":[27],"the":[28,79,84,89,95,100,132,139,149],"concentration":[29],"activities":[31,62],"inside":[32],"is":[33,41,73,122],"significantly":[34],"higher":[35],"than":[36],"outside.":[37],"The":[38],"EHD":[39,71],"problem":[40,72],"important":[42],"to":[43,124,148],"many":[44,68],"fields,":[45],"such":[46],"as":[47,63],"criminology,":[48],"transportation":[49],"engineering,":[50],"epidemiology.":[52],"Related":[53],"work":[54],"(e.g.,":[55],"SatScan)":[56],"enumerates":[57],"only":[58],"circular":[59],"candidates":[60],"using":[61],"centers,":[64],"may":[66],"miss":[67],"significant":[69],"ellipses.":[70],"challenging":[74],"for":[75,109],"two":[76],"reasons,":[77],"namely":[78],"large":[80],"enumeration":[81],"space":[82],"lack":[85],"monotonicity":[87],"ratio.":[92],"To":[93],"overcome":[94],"challenges":[96],"limitations":[98],"related":[101,133],"work,":[102],"this":[103],"paper":[104],"proposes":[105],"novel":[107],"algorithm":[108,121,141],"EHD.":[110],"A":[111],"case":[112],"study":[113],"on":[114],"real":[115],"crime":[116],"data":[117],"shows":[118,137],"that":[119,127,138],"our":[120],"able":[123],"find":[125],"hotspots":[126],"cannot":[128],"be":[129],"detected":[130],"by":[131],"work.":[134],"Experimental":[135],"evaluation":[136],"proposed":[140],"saves":[142],"substantial":[143],"amount":[144],"computation":[146],"compared":[147],"na\u00efve":[150],"approach.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}