{"id":"https://openalex.org/W3015981421","doi":"https://doi.org/10.1109/ic3i46837.2019.9055515","title":"Visual Analysis of Predictive Policing to Improve Crime Investigation","display_name":"Visual Analysis of Predictive Policing to Improve Crime Investigation","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3015981421","doi":"https://doi.org/10.1109/ic3i46837.2019.9055515","mag":"3015981421"},"language":"en","primary_location":{"id":"doi:10.1109/ic3i46837.2019.9055515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i46837.2019.9055515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on contemporary Computing and Informatics (IC3I)","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/A5075909054","display_name":"Mithileysh Sathiyanarayanan","orcid":"https://orcid.org/0000-0002-8598-1949"},"institutions":[{"id":"https://openalex.org/I4210124303","display_name":"Srishti Institute of Art Design and Technology","ror":"https://ror.org/033mhgr78","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210124303"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Mithileysh Sathiyanarayanan","raw_affiliation_strings":["Srishti i2i Biz Solutions & TalentBiz"],"affiliations":[{"raw_affiliation_string":"Srishti i2i Biz Solutions & TalentBiz","institution_ids":["https://openalex.org/I4210124303"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069535966","display_name":"Aisha Kanwal Junejo","orcid":"https://orcid.org/0000-0002-9102-3771"},"institutions":[{"id":"https://openalex.org/I180825142","display_name":"City, University of London","ror":"https://ror.org/04489at23","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I180825142"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Aisha Kanwal Junejo","raw_affiliation_strings":["City, University of London, UK"],"affiliations":[{"raw_affiliation_string":"City, University of London, UK","institution_ids":["https://openalex.org/I180825142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005155942","display_name":"Odunayo Fadahunsi","orcid":null},"institutions":[{"id":"https://openalex.org/I180825142","display_name":"City, University of London","ror":"https://ror.org/04489at23","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I180825142"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Odunayo Fadahunsi","raw_affiliation_strings":["City, University of London, UK"],"affiliations":[{"raw_affiliation_string":"City, University of London, UK","institution_ids":["https://openalex.org/I180825142"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075909054"],"corresponding_institution_ids":["https://openalex.org/I4210124303"],"apc_list":null,"apc_paid":null,"fwci":3.0602,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.93066335,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"197","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10574","display_name":"Crime Patterns and Interventions","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10574","display_name":"Crime Patterns and Interventions","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9427000284194946,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5757774114608765}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5757774114608765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3i46837.2019.9055515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i46837.2019.9055515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on contemporary Computing and Informatics (IC3I)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W166741661","https://openalex.org/W1966171704","https://openalex.org/W1979397426","https://openalex.org/W1987064725","https://openalex.org/W2037598541","https://openalex.org/W2054322519","https://openalex.org/W2086260676","https://openalex.org/W2106442333","https://openalex.org/W2325408928","https://openalex.org/W2535963643","https://openalex.org/W2554593452","https://openalex.org/W2596215048","https://openalex.org/W2605083203","https://openalex.org/W2795059121","https://openalex.org/W2910938896","https://openalex.org/W2991577485","https://openalex.org/W3015710153","https://openalex.org/W3036041794","https://openalex.org/W4240675417","https://openalex.org/W4285719527","https://openalex.org/W6728807079","https://openalex.org/W6729871905","https://openalex.org/W6757829840"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0,76],"recent":[1],"years,":[2],"crime":[3,13,24,37,74,84,116,132,137,184],"analysts":[4],"have":[5],"pointed":[6],"to":[7,61,81,89,112,145,161,169],"the":[8,106,109,157],"potential":[9],"benefits":[10],"of":[11,36,46,67,108,136,159],"focusing":[12],"prevention":[14],"efforts":[15],"using":[16],"visual":[17,65],"analysis.":[18],"From":[19],"previous":[20],"studies":[21],"and":[22,125,138],"analysis,":[23,78],"is":[25,33,85,111],"not":[26],"spread":[27,86],"evenly":[28],"across":[29],"city":[30],"landscapes,":[31],"there":[32],"significant":[34],"clustering":[35],"in":[38,72,103],"small":[39],"places,":[40],"or":[41,92,101,168],"\u201chotspots\u201d,":[42],"that":[43],"generate":[44],"half":[45],"all":[47],"criminal":[48],"events.":[49],"Hotspots":[50],"policing":[51,69],"has":[52],"become":[53],"a":[54,147,173],"very":[55],"popular":[56],"way":[57],"for":[58,98,117],"police":[59,120],"departments":[60],"prevent":[62],"crime,":[63],"however,":[64],"analysis":[66,135],"predicting":[68],"will":[70,130],"aid":[71],"improving":[73],"investigation.":[75],"our":[77],"we":[79,181],"want":[80],"identify":[82],"if":[83],"uniformly":[87],"according":[88],"population":[90],"density":[91],"whether":[93],"certain":[94],"socio-economic":[95],"attributes":[96],"account":[97],"an":[99],"increase":[100],"decrease":[102],"crime.":[104],"So,":[105],"aim":[107],"study":[110],"gather":[113],"intelligence":[114,129],"on":[115],"use":[118],"by":[119],"forces,":[121],"neighbourhood":[122],"watch":[123],"patrols":[124],"concerned":[126],"residents.":[127],"The":[128],"cover":[131],"hotspots,":[133],"temporal":[134],"uncover":[139],"relationships":[140],"which":[141],"can":[142,155],"be":[143],"used":[144],"formalise":[146],"basic":[148],"predictive":[149],"model.":[150],"Using":[151],"this":[152,178],"information,":[153],"stakeholders":[154],"adjust":[156],"implementation":[158],"resources":[160],"specific":[162],"geographic":[163],"locations,":[164],"at":[165],"particular":[166],"times,":[167],"areas":[170],"associated":[171],"with":[172],"strong":[174],"demographic":[175],"indicator.":[176],"For":[177],"research":[179],"work,":[180],"considered":[182],"London":[183],"dataset.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
