{"id":"https://openalex.org/W2962924890","doi":"https://doi.org/10.1145/3338905","title":"Robust Path Matching and Anomalous Route Detection Using Posterior Weighted Graphs","display_name":"Robust Path Matching and Anomalous Route Detection Using Posterior Weighted Graphs","publication_year":2019,"publication_date":"2019-06-30","ids":{"openalex":"https://openalex.org/W2962924890","doi":"https://doi.org/10.1145/3338905","mag":"2962924890"},"language":"en","primary_location":{"id":"doi:10.1145/3338905","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3338905","pdf_url":null,"source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and 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/A5012251757","display_name":"Lauren Doocy","orcid":null},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lauren Doocy","raw_affiliation_strings":["University of Central Florida, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida, United States","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052977244","display_name":"Steven D. Prager","orcid":"https://orcid.org/0000-0001-9830-7008"},"institutions":[{"id":"https://openalex.org/I64492213","display_name":"International Center for Tropical Agriculture","ror":"https://ror.org/037wny167","country_code":"CO","type":"funder","lineage":["https://openalex.org/I1286583668","https://openalex.org/I64492213"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Steven D. Prager","raw_affiliation_strings":["International Center for Tropical Agriculture, Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Center for Tropical Agriculture, Colombia","institution_ids":["https://openalex.org/I64492213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009147264","display_name":"Joseph T. Kider","orcid":"https://orcid.org/0000-0002-4818-115X"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph T. Kider Jr","raw_affiliation_strings":["University of Central Florida, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida, United States","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060008612","display_name":"R. Paul Wiegand","orcid":"https://orcid.org/0000-0002-7763-8024"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Paul Wiegand","raw_affiliation_strings":["University of Central Florida, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida, United States","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012251757"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.06684541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"5","issue":"2","first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9947999715805054,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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":0.7324885129928589},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6921577453613281},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6517422199249268},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5636894702911377},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5366353988647461},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5193749070167542},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.511452317237854},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5083097815513611},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46943143010139465},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4540172815322876},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44746264815330505},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42733603715896606},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.41836968064308167},{"id":"https://openalex.org/keywords/pattern-matching","display_name":"Pattern matching","score":0.4135338068008423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3084286153316498},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1810188889503479},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08959007263183594}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7324885129928589},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6921577453613281},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6517422199249268},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5636894702911377},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5366353988647461},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5193749070167542},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.511452317237854},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5083097815513611},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46943143010139465},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4540172815322876},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44746264815330505},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42733603715896606},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.41836968064308167},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.4135338068008423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3084286153316498},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1810188889503479},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08959007263183594},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3338905","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3338905","pdf_url":null,"source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"},{"id":"pmh:oai:cgspace.cgiar.org:10568/102500","is_oa":false,"landing_page_url":"https://hdl.handle.net/10568/102500","pdf_url":null,"source":{"id":"https://openalex.org/S4306402055","display_name":"CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1286583668","host_organization_name":"CGIAR","host_organization_lineage":["https://openalex.org/I1286583668"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1465304330","https://openalex.org/W1589632093","https://openalex.org/W1593323160","https://openalex.org/W1841789789","https://openalex.org/W1905489744","https://openalex.org/W1967243561","https://openalex.org/W1971113501","https://openalex.org/W1977555135","https://openalex.org/W2021288939","https://openalex.org/W2050590009","https://openalex.org/W2073794668","https://openalex.org/W2084335476","https://openalex.org/W2085041732","https://openalex.org/W2110932284","https://openalex.org/W2118371392","https://openalex.org/W2122646361","https://openalex.org/W2122738683","https://openalex.org/W2163818245","https://openalex.org/W2166771065","https://openalex.org/W2281043547","https://openalex.org/W2549766072","https://openalex.org/W2914225833","https://openalex.org/W2962983474","https://openalex.org/W3098161317","https://openalex.org/W6639694384"],"related_works":["https://openalex.org/W1869485080","https://openalex.org/W2010134675","https://openalex.org/W2360627962","https://openalex.org/W2784229889","https://openalex.org/W1985859948","https://openalex.org/W2740620268","https://openalex.org/W2794038889","https://openalex.org/W2028872578","https://openalex.org/W2183278147","https://openalex.org/W2891327939"],"abstract_inverted_index":{"Understanding":[0],"movement":[1],"behaviors":[2,28,130,163],"is":[3,154],"critical":[4],"for":[5,26],"urban":[6],"mobility":[7],"and":[8,17,57,74,119,134],"transport":[9],"problems,":[10],"including":[11],"robust":[12,105,183],"path":[13,99],"matching,":[14],"behavior":[15,153],"analysis,":[16],"anomaly":[18],"detection.":[19],"We":[20,101],"investigate":[21],"a":[22,50,88,142,169,182],"graph-based,":[23],"probabilistic":[24],"method":[25,48,184],"matching":[27,129],"of":[29,45,70,171,185],"entities":[30],"operating":[31],"on":[32,131,141,190],"networks":[33],"embedded":[34],"in":[35,149,160,174],"some":[36],"geographic":[37],"context":[38],"(e.g.,":[39],"road":[40,144],"networks)":[41],"under":[42],"different":[43,111,132],"types":[44],"uncertainty.":[46],"Our":[47],"uses":[49],"decay":[51],"function":[52],"that":[53,62],"allows":[54,79],"network":[55,89],"topology":[56,63],"attribute":[58],"information":[59],"associated":[60],"with":[61],"(geographic":[64],"or":[65],"otherwise)":[66],"to":[67,82,107,121],"guide":[68],"generalizations":[69],"the":[71,80,175,191],"activity":[72,188],"patterns":[73,189],"model":[75],"learning":[76],"process.":[77],"This":[78],"system":[81],"recognize":[83],"when":[84,93,114,128],"two":[85],"routes":[86,95],"within":[87],"are":[90,116],"similar,":[91],"even":[92,113],"those":[94],"share":[96],"little":[97],"explicit":[98],"information.":[100],"demonstrate":[102],"this":[103],"method\u2019s":[104],"ability":[106],"distinguish":[108],"between":[109],"fundamentally":[110],"behaviors,":[112],"data":[115],"both":[117],"incomplete":[118],"subject":[120],"noise.":[122],"The":[123],"results":[124],"show":[125],"good":[126],"performance":[127],"sized":[133],"attributed":[135],"synthetic":[136],"networks,":[137],"as":[138,140,156,158,168],"well":[139,157],"real-world":[143],"network;":[145],"it":[146],"examines":[147],"situations":[148,159],"which":[150,161],"observed":[151,162],"entity":[152],"noisy,":[155],"differ":[164],"from":[165],"learned":[166],"models":[167],"result":[170],"systemic":[172],"noise":[173],"underlying":[176],"network.":[177,192],"Finally,":[178],"our":[179],"approach":[180],"provides":[181],"detecting":[186],"anomalous":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
