{"id":"https://openalex.org/W2801065388","doi":"https://doi.org/10.1142/s0218488518500216","title":"Definition of Strategies for Crime Prevention and Combat Using Fuzzy Clustering and Formal Concept Analysis","display_name":"Definition of Strategies for Crime Prevention and Combat Using Fuzzy Clustering and Formal Concept Analysis","publication_year":2018,"publication_date":"2018-05-09","ids":{"openalex":"https://openalex.org/W2801065388","doi":"https://doi.org/10.1142/s0218488518500216","mag":"2801065388"},"language":"en","primary_location":{"id":"doi:10.1142/s0218488518500216","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218488518500216","pdf_url":null,"source":{"id":"https://openalex.org/S69518169","display_name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","issn_l":"0218-4885","issn":["0218-4885","1793-6411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems","raw_type":"journal-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/A5018062387","display_name":"Adriana Mara Guimar\u00e3es de Farias","orcid":"https://orcid.org/0000-0002-3451-8946"},"institutions":[{"id":"https://openalex.org/I84554738","display_name":"Universidade Federal Rural do Semi-\u00c1rido","ror":"https://ror.org/05x2svh05","country_code":"BR","type":"education","lineage":["https://openalex.org/I84554738"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Adriana M. Guimaraes de Farias","raw_affiliation_strings":["Centre of Exact and Natural Sciences, Federal Rural University of the Semi Arid, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Exact and Natural Sciences, Federal Rural University of the Semi Arid, Brazil","institution_ids":["https://openalex.org/I84554738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027027525","display_name":"Marcos E. Cintra","orcid":"https://orcid.org/0000-0001-7712-6865"},"institutions":[{"id":"https://openalex.org/I88273585","display_name":"Universidade Federal de S\u00e3o Paulo","ror":"https://ror.org/02k5swt12","country_code":"BR","type":"education","lineage":["https://openalex.org/I88273585"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcos E. Cintra","raw_affiliation_strings":["Institute of Science and Technology, Federal University of Sao Paulo, Avenida Cesare Mansueto Giulio Lattes, 1201 Eugenio de Mello, CEP: 12247-014, Sao Jose dos Campos, SP, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-7712-6865","affiliations":[{"raw_affiliation_string":"Institute of Science and Technology, Federal University of Sao Paulo, Avenida Cesare Mansueto Giulio Lattes, 1201 Eugenio de Mello, CEP: 12247-014, Sao Jose dos Campos, SP, Brazil","institution_ids":["https://openalex.org/I88273585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005847114","display_name":"Angelica C. Felix","orcid":null},"institutions":[{"id":"https://openalex.org/I84554738","display_name":"Universidade Federal Rural do Semi-\u00c1rido","ror":"https://ror.org/05x2svh05","country_code":"BR","type":"education","lineage":["https://openalex.org/I84554738"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Angelica C. Felix","raw_affiliation_strings":["Centre of Exact and Natural Sciences, Federal Rural University of the Semi Arid, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Exact and Natural Sciences, Federal Rural University of the Semi Arid, Brazil","institution_ids":["https://openalex.org/I84554738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000688161","display_name":"Danniel L. Cavalcante","orcid":null},"institutions":[{"id":"https://openalex.org/I84554738","display_name":"Universidade Federal Rural do Semi-\u00c1rido","ror":"https://ror.org/05x2svh05","country_code":"BR","type":"education","lineage":["https://openalex.org/I84554738"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Danniel L. Cavalcante","raw_affiliation_strings":["Centre of Exact and Natural Sciences, Federal Rural University of the Semi Arid, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Exact and Natural Sciences, Federal Rural University of the Semi Arid, Brazil","institution_ids":["https://openalex.org/I84554738"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.22,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.93388645,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"26","issue":"03","first_page":"429","last_page":"452"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9916999936103821,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9916999936103821,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9837999939918518,"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/T10574","display_name":"Crime Patterns and Interventions","score":0.9819999933242798,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.721377432346344},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6936416029930115},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6191555857658386},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5789041519165039},{"id":"https://openalex.org/keywords/crime-prevention","display_name":"Crime prevention","score":0.532394289970398},{"id":"https://openalex.org/keywords/public-security","display_name":"Public security","score":0.5246235132217407},{"id":"https://openalex.org/keywords/crime-analysis","display_name":"Crime analysis","score":0.49990367889404297},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.49395114183425903},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4833323657512665},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45922935009002686},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4401454031467438},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4152475595474243},{"id":"https://openalex.org/keywords/criminology","display_name":"Criminology","score":0.10045287013053894}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.721377432346344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6936416029930115},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6191555857658386},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5789041519165039},{"id":"https://openalex.org/C2776348852","wikidata":"https://www.wikidata.org/wiki/Q855848","display_name":"Crime prevention","level":2,"score":0.532394289970398},{"id":"https://openalex.org/C2986045029","wikidata":"https://www.wikidata.org/wiki/Q294240","display_name":"Public security","level":2,"score":0.5246235132217407},{"id":"https://openalex.org/C2776876444","wikidata":"https://www.wikidata.org/wiki/Q2845200","display_name":"Crime analysis","level":2,"score":0.49990367889404297},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.49395114183425903},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4833323657512665},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45922935009002686},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4401454031467438},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4152475595474243},{"id":"https://openalex.org/C73484699","wikidata":"https://www.wikidata.org/wiki/Q161733","display_name":"Criminology","level":1,"score":0.10045287013053894},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0218488518500216","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218488518500216","pdf_url":null,"source":{"id":"https://openalex.org/S69518169","display_name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","issn_l":"0218-4885","issn":["0218-4885","1793-6411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems","raw_type":"journal-article"},{"id":"pmh:oai:repositorio.unifesp.br:11600/45982","is_oa":false,"landing_page_url":"http://repositorio.unifesp.br/handle/11600/45982","pdf_url":null,"source":{"id":"https://openalex.org/S4377196380","display_name":"UNIFESP Institutional Repository (Universidade Federal de S\u00e3o Paulo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I88273585","host_organization_name":"Universidade Federal de S\u00e3o Paulo","host_organization_lineage":["https://openalex.org/I88273585"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Artigo"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.75,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1585084126","https://openalex.org/W1776456436","https://openalex.org/W2100926234","https://openalex.org/W2132166479","https://openalex.org/W2182722412","https://openalex.org/W2561675875"],"related_works":["https://openalex.org/W1516596535","https://openalex.org/W2188500270","https://openalex.org/W2511702358","https://openalex.org/W2368427438","https://openalex.org/W2350325198","https://openalex.org/W643185702","https://openalex.org/W2389703798","https://openalex.org/W4367724078","https://openalex.org/W2487504729","https://openalex.org/W4322618871"],"abstract_inverted_index":{"Public":[0],"security":[1,62,192],"has":[2],"always":[3],"been":[4,16],"an":[5],"important":[6],"research":[7],"topic.":[8],"In":[9],"this":[10,55,211],"sense,":[11],"machine":[12],"learning":[13],"algorithms":[14],"have":[15,159],"used":[17,129,146,172],"to":[18,30,48,60,130,176,219,269],"extract":[19],"knowledge":[20,37],"from":[21,38],"criminal":[22,108,132,155],"databases,":[23],"which":[24,135,169,265],"usually":[25],"maintain":[26],"records":[27],"in":[28,54,88,210],"order":[29],"generate":[31],"statistics.":[32],"The":[33,94,123,181,202],"automatic":[34],"extraction":[35],"of":[36,46,75,83,91,97,117,121,162,204,225,237,245,253,260,263],"such":[39,221,246],"databases":[40],"allows":[41],"the":[42,73,81,89,160,205,216,223,242,258],"improvement":[43],"and":[44,50,79,178,187,235],"planning":[45],"strategies":[47,175],"prevent":[49,179],"combat":[51,177],"crimes.":[52],"Accordingly,":[53],"work":[56],"different":[57,226],"models":[58,66,98,150,158,182,208,227,247],"related":[59],"public":[61,191],"are":[63,67,213,266],"presented.":[64],"Such":[65,157],"based":[68],"on":[69,72,80],"clustering":[70,126],"algorithms,":[71],"analysis":[74,82,144,252],"formal":[76],"concept":[77,102,143],"techniques,":[78],"crime":[84,105,140],"record":[85],"data":[86],"collected":[87],"city":[90],"Mossoro,":[92],"Brazil.":[93],"two":[95],"types":[96],"generated":[99,207,231],"are:":[100],"(i)":[101],"lattices":[103,164],"with":[104,138],"patterns;":[106],"(ii)":[107],"hot":[109,133],"spot":[110],"maps.":[111],"We":[112],"also":[113],"produced":[114],"a":[115,250],"ranking":[116],"dangerousness":[118],"for":[119,147,173,198,232],"neighbourhoods":[120],"Mossoro.":[122],"Fuzzy":[124],"K-Means":[125],"algorithm":[127],"was":[128,145],"obtain":[131],"spots,":[134],"indicate":[136],"locations":[137],"high":[139],"incidence.":[141],"Formal":[142],"extracting":[148],"visual":[149],"describing":[151],"patterns":[152],"that":[153,165,228,248],"characterize":[154],"activities.":[156],"form":[161],"conceptual":[163],"provide":[166],"graphical":[167,243],"displays":[168],"can":[170,229],"be":[171,230,270],"defining":[174],"crime.":[180],"were":[183],"first":[184],"empirically":[185],"evaluated":[186],"then":[188],"analysed":[189],"by":[190,272],"experts,":[193],"who":[194],"provided":[195],"positive":[196],"feedback":[197],"their":[199],"practical":[200],"use.":[201],"advantages":[203],"automatically":[206],"presented":[209],"paper":[212],"many,":[214],"including":[215],"short":[217],"time":[218],"produce":[220],"models,":[222],"variety":[224],"specific":[233],"regions":[234],"periods":[236],"days,":[238],"months,":[239],"or":[240],"years,":[241],"characteristic":[244],"allow":[249],"fast":[251],"them,":[254],"as":[255,257],"well":[256],"use":[259],"large":[261],"amounts":[262],"data,":[264],"infeasible":[267],"activities":[268],"done":[271],"human":[273],"experts.":[274]},"counts_by_year":[{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}