{"id":"https://openalex.org/W3176916588","doi":"https://doi.org/10.1109/jiot.2021.3090265","title":"Spatial\u2013Temporal Graph Data Mining for IoT-Enabled Air Mobility Prediction","display_name":"Spatial\u2013Temporal Graph Data Mining for IoT-Enabled Air Mobility Prediction","publication_year":2021,"publication_date":"2021-06-17","ids":{"openalex":"https://openalex.org/W3176916588","doi":"https://doi.org/10.1109/jiot.2021.3090265","mag":"3176916588"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2021.3090265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2021.3090265","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","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/A5006087820","display_name":"Yushan Jiang","orcid":"https://orcid.org/0000-0002-4226-7534"},"institutions":[{"id":"https://openalex.org/I84475105","display_name":"Embry\u2013Riddle Aeronautical University","ror":"https://ror.org/010jskt71","country_code":"US","type":"education","lineage":["https://openalex.org/I84475105"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yushan Jiang","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Security and Optimization for Networked Globe Laboratory, Embry–Riddle Aeronatuical University, Daytona Beach, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Security and Optimization for Networked Globe Laboratory, Embry–Riddle Aeronatuical University, Daytona Beach, FL, USA","institution_ids":["https://openalex.org/I84475105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028748926","display_name":"Shuteng Niu","orcid":"https://orcid.org/0000-0002-1069-9236"},"institutions":[{"id":"https://openalex.org/I157417397","display_name":"Bowling Green State University","ror":"https://ror.org/00ay7va13","country_code":"US","type":"education","lineage":["https://openalex.org/I157417397"]},{"id":"https://openalex.org/I84475105","display_name":"Embry\u2013Riddle Aeronautical University","ror":"https://ror.org/010jskt71","country_code":"US","type":"education","lineage":["https://openalex.org/I84475105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuteng Niu","raw_affiliation_strings":["Security and Optimization for Networked Globe Laboratory, Embry-Riddle Aeronautical University, Daytona Beach, FL, USA","Department of Computer Science, Bowling Green State University, Bowling Green, OH, USA"],"affiliations":[{"raw_affiliation_string":"Security and Optimization for Networked Globe Laboratory, Embry-Riddle Aeronautical University, Daytona Beach, FL, USA","institution_ids":["https://openalex.org/I84475105"]},{"raw_affiliation_string":"Department of Computer Science, Bowling Green State University, Bowling Green, OH, USA","institution_ids":["https://openalex.org/I157417397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018601884","display_name":"Kai Zhang","orcid":"https://orcid.org/0000-0002-6322-6096"},"institutions":[{"id":"https://openalex.org/I84475105","display_name":"Embry\u2013Riddle Aeronautical University","ror":"https://ror.org/010jskt71","country_code":"US","type":"education","lineage":["https://openalex.org/I84475105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kai Zhang","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Security and Optimization for Networked Globe Laboratory, Embry–Riddle Aeronatuical University, Daytona Beach, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Security and Optimization for Networked Globe Laboratory, Embry–Riddle Aeronatuical University, Daytona Beach, FL, USA","institution_ids":["https://openalex.org/I84475105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675171","display_name":"Bowen Chen","orcid":"https://orcid.org/0000-0001-9442-8689"},"institutions":[{"id":"https://openalex.org/I84475105","display_name":"Embry\u2013Riddle Aeronautical University","ror":"https://ror.org/010jskt71","country_code":"US","type":"education","lineage":["https://openalex.org/I84475105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bowen Chen","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Security and Optimization for Networked Globe Laboratory, Embry–Riddle Aeronatuical University, Daytona Beach, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Security and Optimization for Networked Globe Laboratory, Embry–Riddle Aeronatuical University, Daytona Beach, FL, USA","institution_ids":["https://openalex.org/I84475105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102821804","display_name":"Chengtao Xu","orcid":"https://orcid.org/0000-0002-0067-3948"},"institutions":[{"id":"https://openalex.org/I84475105","display_name":"Embry\u2013Riddle Aeronautical University","ror":"https://ror.org/010jskt71","country_code":"US","type":"education","lineage":["https://openalex.org/I84475105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengtao Xu","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Security and Optimization for Networked Globe Laboratory, Embry–Riddle Aeronatuical University, Daytona Beach, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Security and Optimization for Networked Globe Laboratory, Embry–Riddle Aeronatuical University, Daytona Beach, FL, USA","institution_ids":["https://openalex.org/I84475105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090441954","display_name":"Dahai Liu","orcid":"https://orcid.org/0000-0001-7301-9309"},"institutions":[{"id":"https://openalex.org/I84475105","display_name":"Embry\u2013Riddle Aeronautical University","ror":"https://ror.org/010jskt71","country_code":"US","type":"education","lineage":["https://openalex.org/I84475105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dahai Liu","raw_affiliation_strings":["College of Aviation, Embry–Riddle Aeronatuical University, Daytona Beach, FL, USA"],"affiliations":[{"raw_affiliation_string":"College of Aviation, Embry–Riddle Aeronatuical University, Daytona Beach, FL, USA","institution_ids":["https://openalex.org/I84475105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079301418","display_name":"Houbing Song","orcid":"https://orcid.org/0000-0003-2631-9223"},"institutions":[{"id":"https://openalex.org/I84475105","display_name":"Embry\u2013Riddle Aeronautical University","ror":"https://ror.org/010jskt71","country_code":"US","type":"education","lineage":["https://openalex.org/I84475105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Houbing Song","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Security and Optimization for Networked Globe Laboratory, Embry–Riddle Aeronatuical University, Daytona Beach, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Security and Optimization for Networked Globe Laboratory, Embry–Riddle Aeronatuical University, Daytona Beach, FL, USA","institution_ids":["https://openalex.org/I84475105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5006087820"],"corresponding_institution_ids":["https://openalex.org/I84475105"],"apc_list":null,"apc_paid":null,"fwci":2.67,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.88871113,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"9","issue":"12","first_page":"9232","last_page":"9240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11489","display_name":"Air Traffic Management and Optimization","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9965999722480774,"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":0.7707601189613342},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5631417036056519},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5587906837463379},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4714568257331848},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.46386757493019104},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.45403406023979187},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4232540726661682},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.4128877520561218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26972800493240356},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2569998502731323},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20743760466575623},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18270745873451233}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7707601189613342},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5631417036056519},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5587906837463379},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4714568257331848},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.46386757493019104},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.45403406023979187},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4232540726661682},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.4128877520561218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26972800493240356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2569998502731323},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20743760466575623},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18270745873451233},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jiot.2021.3090265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2021.3090265","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"},{"id":"pmh:oai:works.bepress.com:houbing_song-1541","is_oa":false,"landing_page_url":"https://works.bepress.com/houbing_song/419","pdf_url":null,"source":{"id":"https://openalex.org/S4377196356","display_name":"Scholarly Commons (Embry\u2013Riddle Aeronautical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I84475105","host_organization_name":"Embry\u2013Riddle Aeronautical University","host_organization_lineage":["https://openalex.org/I84475105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Houbing Song","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4483138611","display_name":null,"funder_award_id":"1956193","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1665214252","https://openalex.org/W1924770834","https://openalex.org/W2064675550","https://openalex.org/W2089296357","https://openalex.org/W2101491865","https://openalex.org/W2209796720","https://openalex.org/W2293066912","https://openalex.org/W2531829851","https://openalex.org/W2592230399","https://openalex.org/W2613274667","https://openalex.org/W2756203131","https://openalex.org/W2774265750","https://openalex.org/W2800806089","https://openalex.org/W2808980192","https://openalex.org/W2887985735","https://openalex.org/W2891959849","https://openalex.org/W2892412810","https://openalex.org/W2896049242","https://openalex.org/W2901504064","https://openalex.org/W2903871660","https://openalex.org/W2939251941","https://openalex.org/W2943134193","https://openalex.org/W2963076818","https://openalex.org/W2964015378","https://openalex.org/W2964321699","https://openalex.org/W2978790554","https://openalex.org/W2979622241","https://openalex.org/W2982407593","https://openalex.org/W2987656958","https://openalex.org/W2991919059","https://openalex.org/W3012539654","https://openalex.org/W3034369844","https://openalex.org/W3093707081","https://openalex.org/W3094583894","https://openalex.org/W3097360280","https://openalex.org/W3101197299","https://openalex.org/W3103720336","https://openalex.org/W3111699780","https://openalex.org/W3127906832","https://openalex.org/W3138464002","https://openalex.org/W3156531028","https://openalex.org/W3174022889","https://openalex.org/W4255815195","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W6631190155","https://openalex.org/W6637242042","https://openalex.org/W6640212811","https://openalex.org/W6720006811","https://openalex.org/W6738964360","https://openalex.org/W6747795875"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4255224757","https://openalex.org/W4288388567"],"abstract_inverted_index":{"Big":[0],"data":[1,71,137,150,158,221],"analytics":[2],"and":[3,13,35,65,75,126,135,170,177,205,214,244,258],"mining":[4,138],"have":[5],"the":[6,27,31,36,49,62,104,108,122,128,165,191,212,220,224,227,236,245,248,255,260,273],"potential":[7,274],"to":[8,48,61,120,153,189,210,275,278],"enable":[9],"real-time":[10],"decision":[11],"making":[12],"control":[14],"in":[15,68,269,282],"a":[16,57,155,181,200],"range":[17],"of":[18,20,29,33,38,51,92,103,110,124,175,202,226,238,247,262],"Internet":[19,28,32],"Things":[21],"(IoT)":[22],"application":[23],"domains,":[24],"such":[25],"as":[26,130],"Vehicles,":[30],"Wings,":[34],"Airport":[37],"Things.":[39],"The":[40,265],"prediction":[41,83,256,266],"toward":[42],"air":[43,52,69,81,231],"mobility,":[44],"which":[45,160],"is":[46,151,187,208],"essential":[47],"studies":[50],"traffic":[53,70,82,90,111],"management,":[54],"has":[55,272],"been":[56],"challenging":[58],"task":[59],"due":[60],"complex":[63],"spatial":[64,105,213],"temporal":[66,96,156,215,249],"dependencies":[67],"with":[72,98,132,235],"highly":[73],"nonlinear":[74],"variational":[76],"patterns.":[77],"Existing":[78],"works":[79],"for":[80],"only":[84],"focus":[85],"on":[86,139,219,229,241],"either":[87],"modeling":[88],"static":[89],"patterns":[91],"individual":[93],"flight":[94],"or":[95,100],"correlation,":[97],"no":[99],"limited":[101],"addressing":[102],"impact,":[106],"namely,":[107],"propagation":[109],"perturbation":[112],"among":[113],"airports.":[114],"In":[115],"this":[116,270],"article,":[117],"we":[118,253],"propose":[119],"leverage":[121],"concept":[123],"graph":[125,157,183,203],"model":[127,186,228],"airports":[129],"nodes":[131],"time-series":[133],"features":[134],"conduct":[136],"graph-structured":[140],"data.":[141],"To":[142],"be":[143,276],"specific,":[144],"first,":[145],"airline":[146],"on-time":[147],"performance":[148,257],"(AOTP)":[149],"preprocessed":[152],"generate":[154],"set,":[159],"includes":[161],"three":[162],"features:":[163],"1)":[164],"number;":[166],"2)":[167],"average":[168,172],"delay;":[169],"3)":[171],"taxiing":[173],"time":[174],"departure":[176],"arrival":[178],"flights.":[179],"Then,":[180],"spatial\u2013temporal":[182,230,280],"neural":[184],"networks":[185],"implemented":[188],"forecast":[190],"mobility":[192,232],"level":[193],"at":[194],"each":[195],"airport":[196],"over":[197],"time,":[198],"where":[199],"combination":[201],"convolution":[204,207],"time-dimensional":[206],"used":[209],"capture":[211],"correlation":[216],"simultaneously.":[217],"Experiments":[218],"set":[222],"demonstrate":[223],"advantage":[225],"prediction,":[233],"together":[234],"impact":[237],"different":[239],"priors":[240],"adjacency":[242],"matrices":[243],"effectiveness":[246],"attention":[250],"mechanism.":[251],"Finally,":[252],"analyze":[254],"discuss":[259],"capability":[261],"our":[263],"model.":[264],"framework":[267],"proposed":[268],"work":[271],"generalized":[277],"other":[279],"tasks":[281],"IoT.":[283]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}