{"id":"https://openalex.org/W2914451018","doi":"https://doi.org/10.1109/iisa.2018.8633657","title":"Time, Place, and Modus Operandi: A Simple Apriori Algorithm Experiment for Crime Pattern Detection","display_name":"Time, Place, and Modus Operandi: A Simple Apriori Algorithm Experiment for Crime Pattern Detection","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2914451018","doi":"https://doi.org/10.1109/iisa.2018.8633657","mag":"2914451018"},"language":"en","primary_location":{"id":"doi:10.1109/iisa.2018.8633657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa.2018.8633657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA)","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/A5101749583","display_name":"Peng Chen","orcid":"https://orcid.org/0000-0002-9041-8392"},"institutions":[{"id":"https://openalex.org/I37448385","display_name":"China People's Public Security University","ror":"https://ror.org/05twya590","country_code":"CN","type":"education","lineage":["https://openalex.org/I37448385"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Chen","raw_affiliation_strings":["School of Policing and Information Engineering, Chinese People's Public Security University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Policing and Information Engineering, Chinese People's Public Security University, Beijing, China","institution_ids":["https://openalex.org/I37448385"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006355631","display_name":"Justin Kurland","orcid":"https://orcid.org/0000-0001-9546-4307"},"institutions":[{"id":"https://openalex.org/I52179390","display_name":"University of Waikato","ror":"https://ror.org/013fsnh78","country_code":"NZ","type":"education","lineage":["https://openalex.org/I52179390"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Justin Kurland","raw_affiliation_strings":["New Zealand Institute for Security and Crime Science, University of Waikato, Hamilton, New Zealand"],"affiliations":[{"raw_affiliation_string":"New Zealand Institute for Security and Crime Science, University of Waikato, Hamilton, New Zealand","institution_ids":["https://openalex.org/I52179390"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101749583"],"corresponding_institution_ids":["https://openalex.org/I37448385"],"apc_list":null,"apc_paid":null,"fwci":2.281,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91611926,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10574","display_name":"Crime Patterns and Interventions","score":0.9983999729156494,"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":0.9983999729156494,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9904000163078308,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9642999768257141,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.8224132061004639},{"id":"https://openalex.org/keywords/harm","display_name":"Harm","score":0.7191593050956726},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6800004243850708},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5964609384536743},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.5846760272979736},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.538658082485199},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5368481278419495},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5077953934669495},{"id":"https://openalex.org/keywords/crime-analysis","display_name":"Crime analysis","score":0.4668966233730316},{"id":"https://openalex.org/keywords/police-department","display_name":"Police department","score":0.43960967659950256},{"id":"https://openalex.org/keywords/criminology","display_name":"Criminology","score":0.24406957626342773},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09329041838645935}],"concepts":[{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.8224132061004639},{"id":"https://openalex.org/C2777363581","wikidata":"https://www.wikidata.org/wiki/Q15098235","display_name":"Harm","level":2,"score":0.7191593050956726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6800004243850708},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5964609384536743},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.5846760272979736},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.538658082485199},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5368481278419495},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5077953934669495},{"id":"https://openalex.org/C2776876444","wikidata":"https://www.wikidata.org/wiki/Q2845200","display_name":"Crime analysis","level":2,"score":0.4668966233730316},{"id":"https://openalex.org/C2992711187","wikidata":"https://www.wikidata.org/wiki/Q35535","display_name":"Police department","level":2,"score":0.43960967659950256},{"id":"https://openalex.org/C73484699","wikidata":"https://www.wikidata.org/wiki/Q161733","display_name":"Criminology","level":1,"score":0.24406957626342773},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09329041838645935},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iisa.2018.8633657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa.2018.8633657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2033965861","https://openalex.org/W2331926117","https://openalex.org/W2519275976","https://openalex.org/W2553730712","https://openalex.org/W2770567437","https://openalex.org/W2780029216"],"related_works":["https://openalex.org/W2059333989","https://openalex.org/W2385229093","https://openalex.org/W2367209111","https://openalex.org/W2390051172","https://openalex.org/W2118198359","https://openalex.org/W4299529113","https://openalex.org/W2348237075","https://openalex.org/W2351000793","https://openalex.org/W2382078898","https://openalex.org/W2073385028"],"abstract_inverted_index":{"Given":[0],"the":[1,8,39,88,107],"fast-paced":[2],"nature":[3],"of":[4,12,41],"modern":[5],"police":[6,135],"work,":[7],"development":[9],"and":[10,29,78,98,116],"use":[11],"advanced":[13],"data":[14,60],"mining":[15,97],"tools":[16],"for":[17,93],"crime":[18,32,53,59,71,120,127],"analysis":[19],"can":[20,112,118],"play":[21],"a":[22,58],"critical":[23],"factor":[24],"in":[25,69],"mitigating":[26],"future":[27],"harm":[28],"helping":[30],"with":[31],"prevention.":[33],"This":[34],"paper":[35],"aims":[36],"to":[37,132],"solve":[38],"problem":[40],"identifying":[42],"potential":[43],"serial":[44],"offending":[45],"patterns":[46],"using":[47,87],"previously":[48],"underutilised":[49],"attributes":[50],"from":[51,102,106],"police-recorded":[52,70,126],"data.":[54],"To":[55],"achieve":[56],"this":[57],"processing":[61],"procedure":[62],"is":[63,85],"proposed":[64],"that":[65,110],"extracts":[66],"three":[67],"variables":[68],"event":[72],"data:":[73],"(1)":[74],"time;":[75],"(2)":[76],"setting;":[77],"(3)":[79],"modus":[80],"operandi.":[81],"Each":[82],"crime-event":[83],"attribute":[84],"modeled":[86],"Apriori":[89,111],"algorithm,":[90],"commonly":[91],"used":[92],"frequent":[94],"item":[95],"set":[96],"association":[99],"rule":[100],"learning":[101],"complex":[103],"datasets.":[104],"Results":[105],"model":[108],"suggest":[109],"identify":[113],"significant":[114],"associations":[115],"thus":[117],"highlight":[119],"pattern":[121],"trends":[122],"nested":[123],"within":[124],"broader":[125],"databases,":[128],"which":[129],"could":[130],"lead":[131],"more":[133],"effective":[134],"responses":[136],"than":[137],"currently":[138],"offered":[139],"via":[140],"traditional":[141],"analytical":[142],"methods.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}