{"id":"https://openalex.org/W2942812544","doi":"https://doi.org/10.1145/3297280.3297388","title":"VisCrimePredict","display_name":"VisCrimePredict","publication_year":2019,"publication_date":"2019-04-08","ids":{"openalex":"https://openalex.org/W2942812544","doi":"https://doi.org/10.1145/3297280.3297388","mag":"2942812544"},"language":"en","primary_location":{"id":"doi:10.1145/3297280.3297388","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297280.3297388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing","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/A5091261669","display_name":"Ahsan Morshed","orcid":"https://orcid.org/0000-0002-7314-0624"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Ahsan Morshed","raw_affiliation_strings":["Swinburne University of Technology, Melbourne, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology, Melbourne, Victoria, Australia","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015356348","display_name":"Abdur Rahim Mohammad Forkan","orcid":"https://orcid.org/0000-0003-0237-1705"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Abdur Rahim Mohammad Forkan","raw_affiliation_strings":["Swinburne University of Technology, Melbourne, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology, Melbourne, Victoria, Australia","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076055067","display_name":"Pei\u2010Wei Tsai","orcid":"https://orcid.org/0000-0002-9429-8957"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Pei-Wei Tsai","raw_affiliation_strings":["Swinburne University of Technology, Melbourne, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology, Melbourne, Victoria, Australia","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071564719","display_name":"Prem Prakash Jayaraman","orcid":"https://orcid.org/0000-0003-4500-3443"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Prem Prakash Jayaraman","raw_affiliation_strings":["Swinburne University of Technology, Melbourne, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology, Melbourne, Victoria, Australia","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020449921","display_name":"Timos Sellis","orcid":"https://orcid.org/0000-0002-9067-5639"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Timos Sellis","raw_affiliation_strings":["Swinburne University of Technology, Melbourne, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology, Melbourne, Victoria, Australia","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043216071","display_name":"Dimitrios Georgakopoulos","orcid":"https://orcid.org/0000-0001-7880-2140"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dimitrios Georgakopoulos","raw_affiliation_strings":["Swinburne University of Technology, Melbourne, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology, Melbourne, Victoria, Australia","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001224504","display_name":"Irene Moser","orcid":"https://orcid.org/0000-0002-1345-3901"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Irene Moser","raw_affiliation_strings":["Swinburne University of Technology, Melbourne, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology, Melbourne, Victoria, Australia","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072670483","display_name":"Rajiv Ranjan","orcid":"https://orcid.org/0000-0002-6610-1328"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rajiv Ranjan","raw_affiliation_strings":["Newcastle University"],"affiliations":[{"raw_affiliation_string":"Newcastle University","institution_ids":["https://openalex.org/I84884186"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5091261669"],"corresponding_institution_ids":["https://openalex.org/I57093077"],"apc_list":null,"apc_paid":null,"fwci":0.5061,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68246945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1099","last_page":"1106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9965999722480774,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T10574","display_name":"Crime Patterns and Interventions","score":0.9926999807357788,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9919999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7974996566772461},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.6685050129890442},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5880590677261353},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5624969005584717},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5532827973365784},{"id":"https://openalex.org/keywords/neighbourhood","display_name":"Neighbourhood (mathematics)","score":0.5076612234115601},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.47618356347084045},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4646472632884979},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.44731104373931885},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"Predictive analytics","score":0.42944642901420593},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.42893266677856445},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4139300584793091},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37498223781585693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3553503155708313},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29263994097709656},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19395580887794495}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7974996566772461},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.6685050129890442},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5880590677261353},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5624969005584717},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5532827973365784},{"id":"https://openalex.org/C161677786","wikidata":"https://www.wikidata.org/wiki/Q2478475","display_name":"Neighbourhood (mathematics)","level":2,"score":0.5076612234115601},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.47618356347084045},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4646472632884979},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.44731104373931885},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.42944642901420593},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.42893266677856445},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4139300584793091},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37498223781585693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3553503155708313},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29263994097709656},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19395580887794495},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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":2,"locations":[{"id":"doi:10.1145/3297280.3297388","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297280.3297388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:researchbank.swinburne.edu.au:b91ed5a5-43c0-4251-a899-5d7788012726/1","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.3/449116","pdf_url":null,"source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne Research Bank (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, SAC '19, Limassol, Cyprus, April 08 - 12, 2019, pp. 1099-1106","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.800000011920929}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1519330792","https://openalex.org/W1530964950","https://openalex.org/W1585044976","https://openalex.org/W1973749534","https://openalex.org/W2008937910","https://openalex.org/W2026140901","https://openalex.org/W2044233129","https://openalex.org/W2064675550","https://openalex.org/W2096896574","https://openalex.org/W2104434203","https://openalex.org/W2123442489","https://openalex.org/W2124437815","https://openalex.org/W2126194848","https://openalex.org/W2126494092","https://openalex.org/W2127141656","https://openalex.org/W2147876157","https://openalex.org/W2164183644","https://openalex.org/W2247608292","https://openalex.org/W2298798447","https://openalex.org/W2529181418","https://openalex.org/W2586239045","https://openalex.org/W2599958080","https://openalex.org/W2753216690","https://openalex.org/W2789195446","https://openalex.org/W2821470430","https://openalex.org/W2900678496","https://openalex.org/W2906781555","https://openalex.org/W7052756343"],"related_works":["https://openalex.org/W2052370551","https://openalex.org/W2543893460","https://openalex.org/W2570647323","https://openalex.org/W2206805568","https://openalex.org/W2076942471","https://openalex.org/W2515921780","https://openalex.org/W2186032312","https://openalex.org/W2863268765","https://openalex.org/W3027285423","https://openalex.org/W2896245927"],"abstract_inverted_index":{"Open":[0],"multidimensional":[1],"data":[2,22,44,114,119],"from":[3,42,112],"social":[4,14,121],"media":[5,122],"and":[6,23,38,68,90,120,150],"similar":[7],"sources":[8,115],"often":[9],"carries":[10],"insightful":[11],"information":[12,41],"on":[13],"issues.":[15],"With":[16],"the":[17,24,124,164],"increase":[18],"of":[19,26,48,129,145,148,154],"high":[20],"volume":[21],"proliferation":[25],"visual":[27,89],"analytics":[28,92],"platforms,":[29],"it":[30],"becomes":[31],"easier":[32],"for":[33,54,140],"users":[34],"to":[35,64,93,126],"interact":[36],"with":[37,58,123],"select":[39],"meaningful":[40],"large":[43],"sets.":[45],"The":[46,62],"prevention":[47],"crime":[49,66,77,155],"is":[50,103],"a":[51,85,100,106,133],"crucial":[52],"issue":[53],"law-enforcing":[55],"agencies":[56],"tasked":[57],"maintaining":[59],"societal":[60],"stability.":[61],"ability":[63],"visualise":[65],"patterns":[67],"predict":[69],"imminent":[70],"incidents":[71,128],"accurately":[72],"opens":[73],"new":[74],"possibilities":[75],"in":[76,99],"prevention.":[78],"In":[79],"this":[80],"paper,":[81],"we":[82],"present":[83],"VisCrimePredict,":[84],"system":[86],"that":[87,97,109],"uses":[88,132],"predictive":[91],"map":[94],"out":[95],"crimes":[96],"occurred":[98],"region/neighbourhood.":[101],"VisCrimePredict":[102,131,149],"underpinned":[104],"by":[105],"novel":[107],"algorithm":[108,139],"creates":[110],"trajectories":[111],"heterogeneous":[113],"such":[116],"as":[117],"open":[118],"aim":[125],"report":[127],"crime.":[130],"Long":[134],"Short":[135],"Term":[136],"Memory":[137],"(LSTM)":[138],"trajectory":[141,156],"prediction.":[142],"A":[143],"proof":[144],"concept":[146],"implementation":[147],"an":[151],"experimental":[152],"evaluation":[153],"prediction":[157],"accuracy":[158],"using":[159],"LSTM":[160],"neural":[161],"network":[162],"concludes":[163],"paper.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-05-09T00:00:00"}