{"id":"https://openalex.org/W4413850488","doi":"https://doi.org/10.62927/revpmms.v2i2.106","title":"PREDICTIVE MODELING OF ROBBERIES IN CAMPO GRANDE (MS) USING SUPERVISED REGRESSION ALGORITHMS","display_name":"PREDICTIVE MODELING OF ROBBERIES IN CAMPO GRANDE (MS) USING SUPERVISED REGRESSION ALGORITHMS","publication_year":2025,"publication_date":"2025-08-28","ids":{"openalex":"https://openalex.org/W4413850488","doi":"https://doi.org/10.62927/revpmms.v2i2.106"},"language":"en","primary_location":{"id":"doi:10.62927/revpmms.v2i2.106","doi":"https://doi.org/10.62927/revpmms.v2i2.106","is_oa":true,"landing_page_url":"https://doi.org/10.62927/revpmms.v2i2.106","pdf_url":"https://revista.pm.ms.gov.br/OJS/article/download/106/82","source":{"id":"https://openalex.org/S4404675020","display_name":"Revista Cient\u00edfica da Pol\u00edcia Militar de Mato Grosso do Sul.","issn_l":"2965-8616","issn":["2965-8616"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Revista Cient\u00edfica da Pol\u00edcia Militar de Mato Grosso do Sul - RevPMMS","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://revista.pm.ms.gov.br/OJS/article/download/106/82","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018706943","display_name":"William Fabian Acevedo Silva","orcid":"https://orcid.org/0009-0008-1988-9707","observed_orcids":["https://orcid.org/0009-0008-1988-9707"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wesley Fabricio Souza Silva","raw_affiliation_strings":["PMMS"],"raw_orcid":"https://orcid.org/0009-0008-1988-9707","affiliations":[{"raw_affiliation_string":"PMMS","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5119485498","display_name":"Jamil Roberto Dagher Neto","orcid":"https://orcid.org/0009-0007-4959-3029","observed_orcids":["https://orcid.org/0009-0007-4959-3029"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jamil Roberto Dagher Neto","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0007-4959-3029","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19668769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":"2","first_page":"205","last_page":"221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.44119998812675476,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.44119998812675476,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10574","display_name":"Crime Patterns and Interventions","score":0.39160001277923584,"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/T11076","display_name":"Policing Practices and Perceptions","score":0.055799998342990875,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/crime-prediction","display_name":"crime prediction","score":0.8830000162124634},{"id":"https://openalex.org/keywords/robbery","display_name":"robbery","score":0.8610000014305115},{"id":"https://openalex.org/keywords/predictive-policing","display_name":"predictive policing","score":0.8360000252723694},{"id":"https://openalex.org/keywords/public-security","display_name":"public security","score":0.7879999876022339},{"id":"https://openalex.org/keywords/preventive-policing","display_name":"preventive policing","score":0.5609999895095825},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.8820000290870667},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"multilayer perceptron","score":0.9940000176429749},{"id":"https://openalex.org/keywords/supervised-regression","display_name":"supervised regression","score":0.6150000095367432},{"id":"https://openalex.org/keywords/campo-grande","display_name":"Campo Grande","score":0.5849999785423279}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48525547981262207},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4645158350467682},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.45834869146347046},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4530191421508789},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42923498153686523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37759020924568176},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23362457752227783},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20191925764083862}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.62927/revpmms.v2i2.106","doi":"https://doi.org/10.62927/revpmms.v2i2.106","is_oa":true,"landing_page_url":"https://doi.org/10.62927/revpmms.v2i2.106","pdf_url":"https://revista.pm.ms.gov.br/OJS/article/download/106/82","source":{"id":"https://openalex.org/S4404675020","display_name":"Revista Cient\u00edfica da Pol\u00edcia Militar de Mato Grosso do Sul.","issn_l":"2965-8616","issn":["2965-8616"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Revista Cient\u00edfica da Pol\u00edcia Militar de Mato Grosso do Sul - RevPMMS","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.62927/revpmms.v2i2.106","doi":"https://doi.org/10.62927/revpmms.v2i2.106","is_oa":true,"landing_page_url":"https://doi.org/10.62927/revpmms.v2i2.106","pdf_url":"https://revista.pm.ms.gov.br/OJS/article/download/106/82","source":{"id":"https://openalex.org/S4404675020","display_name":"Revista Cient\u00edfica da Pol\u00edcia Militar de Mato Grosso do Sul.","issn_l":"2965-8616","issn":["2965-8616"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Revista Cient\u00edfica da Pol\u00edcia Militar de Mato Grosso do Sul - RevPMMS","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8999999761581421,"display_name":"Peace, justice, and strong institutions"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413850488.pdf","grobid_xml":"https://content.openalex.org/works/W4413850488.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"This":[0],"study":[1],"investigates":[2],"the":[3,10,16,27,37,95,100,138,141,149,154,158,169,188],"application":[4],"of":[5,13,18,30,47,90,102,128,140,171],"supervised":[6,81,142,172],"regression":[7],"algorithms":[8,173],"for":[9,94],"monthly":[11,91],"prediction":[12],"robberies":[14],"in":[15,177],"city":[17],"Campo":[19],"Grande":[20],"(MS),":[21],"based":[22],"on":[23,71],"operational":[24],"records":[25,93],"from":[26,39,135],"Military":[28],"Police":[29],"Mato":[31],"Grosso":[32],"do":[33],"Sul":[34],"(PMMS)":[35],"covering":[36],"period":[38],"2018":[40],"to":[41,78,184,190],"2023.":[42],"The":[43,75,87,166],"adopted":[44],"methodology":[45],"consisted":[46],"comparing":[48],"various":[49],"machine":[50],"learning":[51,143],"techniques,":[52],"including":[53],"Linear":[54],"Regression,":[55],"Ridge,":[56],"Lasso,":[57],"Decision":[58],"Tree,":[59],"Random":[60,146],"Forest,":[61],"and":[62,73,106,125,153,162,186],"Multilayer":[63],"Perceptron":[64],"(MLP),":[65],"with":[66,109,132,145],"traditional":[67],"statistical":[68],"methods":[69],"relying":[70],"means":[72],"medians.":[74],"objective":[76],"was":[77,114],"assess":[79],"whether":[80],"models":[82],"outperform":[83],"simplified":[84],"baseline":[85],"approaches.":[86],"dataset,":[88],"composed":[89],"aggregated":[92],"entire":[96],"municipality,":[97],"reliably":[98],"reflected":[99],"behavior":[101],"preventive":[103],"policing":[104],"actions":[105],"their":[107],"relationship":[108],"reported":[110],"robberies.":[111],"Model":[112],"evaluation":[113],"conducted":[115],"using":[116],"MAE":[117,151],"(Mean":[118,122],"Absolute":[119],"Error),":[120,124],"MSE":[121,160],"Squared":[123],"R\u00b2":[126,164],"(Coefficient":[127],"Determination).":[129],"Empirical":[130],"validation":[131],"real":[133],"data":[134],"2023":[136],"demonstrated":[137],"superiority":[139],"approach,":[144],"Forest":[147],"achieving":[148,157],"lowest":[150,159],"(10.43)":[152],"MLP":[155],"model":[156],"(174.04)":[161],"highest":[163],"(0.44).":[165],"findings":[167],"highlight":[168],"potential":[170],"as":[174],"decision-support":[175],"tools":[176],"public":[178],"security,":[179],"promoting":[180],"a":[181],"data-driven":[182],"approach":[183],"management":[185],"enhancing":[187],"ability":[189],"anticipate":[191],"critical":[192],"scenarios.":[193],"Keywords:Crime":[194],"Prediction;":[195],"Supervised":[196],"Regression;":[197],"Public":[198],"Security;":[199],"Machine":[200],"Learning;":[201],"Predictive":[202],"Policing.":[203]},"counts_by_year":[],"updated_date":"2026-09-21T07:43:02.447757","created_date":"2025-10-10T00:00:00"}