{"id":"https://openalex.org/W4404565206","doi":"https://doi.org/10.1109/uemcon62879.2024.10754762","title":"Mapping Crime Dynamics: Integrating Textual, Spatial, and Temporal Perspectives","display_name":"Mapping Crime Dynamics: Integrating Textual, Spatial, and Temporal Perspectives","publication_year":2024,"publication_date":"2024-10-17","ids":{"openalex":"https://openalex.org/W4404565206","doi":"https://doi.org/10.1109/uemcon62879.2024.10754762"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon62879.2024.10754762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon62879.2024.10754762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5114728722","display_name":"Tarun Reddi","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tarun Reddi","raw_affiliation_strings":["University at Buffalo,Computer Science and Engineering,Buffalo,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Buffalo,Computer Science and Engineering,Buffalo,NY,USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114728723","display_name":"Charvi Kusuma","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charvi Kusuma","raw_affiliation_strings":["University at Buffalo,Computer Science and Engineering,Buffalo,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Buffalo,Computer Science and Engineering,Buffalo,NY,USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":null,"display_name":"Shamsad Parvin","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shamsad Parvin","raw_affiliation_strings":["University at Buffalo,Computer Science and Engineering,Buffalo,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Buffalo,Computer Science and Engineering,Buffalo,NY,USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"757","last_page":"763"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10574","display_name":"Crime Patterns and Interventions","score":0.8560000061988831,"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":0.8560000061988831,"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/computer-science","display_name":"Computer science","score":0.6760249137878418},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.6002107858657837},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39584556221961975},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.15289068222045898}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6760249137878418},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.6002107858657837},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39584556221961975},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.15289068222045898},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uemcon62879.2024.10754762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon62879.2024.10754762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2795201205","https://openalex.org/W2885687276","https://openalex.org/W2892891686","https://openalex.org/W2910524267","https://openalex.org/W2914320168","https://openalex.org/W2965929528","https://openalex.org/W3114271615","https://openalex.org/W3200002721","https://openalex.org/W4210629618","https://openalex.org/W4225396348","https://openalex.org/W4226432810","https://openalex.org/W4286240436","https://openalex.org/W4319039935","https://openalex.org/W4361985925","https://openalex.org/W4380684657","https://openalex.org/W4387740244"],"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],"recent":[1],"years,":[2],"predicting":[3],"crime":[4,22,34,61,82,107,141,178,186,200],"for":[5,32,36,101,199],"a":[6],"particular":[7,159],"region":[8],"using":[9,89],"Machine":[10],"Learning":[11],"(ML)":[12],"has":[13],"gained":[14],"much":[15],"attention.":[16],"We":[17,63],"applied":[18,110],"algorithms":[19,51,90,169],"to":[20,76,116,152,173],"categorize":[21],"types":[23],"and":[24,49,52,98,124,139,157,168,192,203],"examine":[25],"the":[26,37,70,78,102,106,120,146,174],"local":[27],"vulnerability":[28],"with":[29,47,66],"hotspot":[30],"clustering":[31,86],"each":[33],"type":[35],"city":[38],"of":[39,45,60,105,122,148,165],"Los":[40],"Angeles.":[41],"The":[42],"combined":[43],"analysis":[44],"classifications":[46],"bagging":[48],"boosting":[50],"subsequently":[53],"identifying":[54],"spatial":[55,188],"clusters":[56],"enhances":[57],"our":[58,163],"comprehension":[59],"patterns.":[62],"further":[64],"dealt":[65],"text-based":[67],"analysis,":[68],"employing":[69],"Latent":[71],"Dirichlet":[72],"Allocation":[73],"(LDA)":[74],"model":[75,115],"uncover":[77],"latent":[79],"topics":[80,88],"within":[81],"descriptions,":[83],"followed":[84],"by":[85],"these":[87],"such":[91,135],"as":[92,136],"BIRCH,":[93],"Mini":[94],"Batch":[95],"KMeans,":[96],"OPTICS,":[97],"HDBSCAN.":[99],"As":[100],"temporal":[103],"aspects":[104,134],"data,":[108],"we":[109,143,171],"Long-Short":[111],"Term":[112],"Memory":[113],"(LSTM)":[114],"analyze":[117,145],"fluctuations":[118],"in":[119,158,177],"number":[121],"crimes":[123,149],"forecast":[125],"future":[126],"possibilities.":[127],"Through":[128],"this":[129],"comprehensive":[130],"study":[131],"covering":[132],"various":[133,166],"spatial,":[137],"temporal,":[138],"textual-based":[140],"dynamics,":[142],"can":[144],"nature":[147],"most":[150],"likely":[151],"occur":[153],"at":[154],"specific":[155],"times":[156],"areas.":[160],"Moreover,":[161],"through":[162],"comparison":[164],"models":[167],"applied,":[170],"contribute":[172],"academic":[175],"discourse":[176],"analysis.":[179],"It":[180,195],"provides":[181],"valuable":[182],"insights":[183],"into":[184],"addressing":[185],"reports,":[187],"clustering,":[189],"topic":[190],"modeling,":[191],"LSTM":[193],"applications.":[194],"gives":[196],"practical":[197],"implications":[198],"prevention":[201],"strategies":[202],"optimizing":[204],"resource":[205],"allocation.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}