{"id":"https://openalex.org/W2921177113","doi":"https://doi.org/10.1145/3301551.3301559","title":"Discovering Dependence across Traffic Data of Disparate Regions Using Multiscale Generalized Correlation","display_name":"Discovering Dependence across Traffic Data of Disparate Regions Using Multiscale Generalized Correlation","publication_year":2018,"publication_date":"2018-12-29","ids":{"openalex":"https://openalex.org/W2921177113","doi":"https://doi.org/10.1145/3301551.3301559","mag":"2921177113"},"language":"en","primary_location":{"id":"doi:10.1145/3301551.3301559","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3301551.3301559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Information Technology: IoT and Smart City","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/A5007604110","display_name":"Dehong Qiu","orcid":"https://orcid.org/0000-0003-2921-0303"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dehong Qiu","raw_affiliation_strings":["School of Software Engineering, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Pin Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pin Zhang","raw_affiliation_strings":["School of Software Engineering, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086949249","display_name":"Shaohong Fang","orcid":"https://orcid.org/0000-0002-1690-9222"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohong Fang","raw_affiliation_strings":["School of Software Engineering, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058438584","display_name":"Xuwen Lang","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuwen Lang","raw_affiliation_strings":["School of Software Engineering, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068201443","display_name":"Hao Feng","orcid":"https://orcid.org/0000-0001-8127-6639"},"institutions":[{"id":"https://openalex.org/I4210100789","display_name":"Wuhan College","ror":"https://ror.org/01dashf18","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210100789"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Feng","raw_affiliation_strings":["School of Information Engineering, Wuhan College, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Wuhan College, Wuhan, China","institution_ids":["https://openalex.org/I4210100789"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007604110"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.22105428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"278","last_page":"283"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9975000023841858,"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":0.9975000023841858,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9944999814033508,"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/T11106","display_name":"Data Management and Algorithms","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5898628830909729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5716017484664917},{"id":"https://openalex.org/keywords/disparate-system","display_name":"Disparate system","score":0.42474237084388733},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3501995801925659},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34564539790153503},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2187969982624054},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15361624956130981},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11614429950714111}],"concepts":[{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5898628830909729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5716017484664917},{"id":"https://openalex.org/C19443361","wikidata":"https://www.wikidata.org/wiki/Q5282533","display_name":"Disparate system","level":2,"score":0.42474237084388733},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3501995801925659},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34564539790153503},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2187969982624054},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15361624956130981},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11614429950714111},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3301551.3301559","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3301551.3301559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Information Technology: IoT and Smart City","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1971993044","https://openalex.org/W1972269447","https://openalex.org/W1977153226","https://openalex.org/W1983681808","https://openalex.org/W1995245587","https://openalex.org/W2023205960","https://openalex.org/W2037338351","https://openalex.org/W2094811636","https://openalex.org/W2112738128","https://openalex.org/W2145979309","https://openalex.org/W2297059404","https://openalex.org/W2528040708","https://openalex.org/W2530386080","https://openalex.org/W2582510569","https://openalex.org/W2613285149","https://openalex.org/W2735652518","https://openalex.org/W3012018142","https://openalex.org/W3103827447","https://openalex.org/W3106063097","https://openalex.org/W6643120633"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Deciphering":[0],"potential":[1],"associations":[2],"between":[3,49,68,114],"the":[4,20,69,94,106,111,115],"traffic":[5,16,21,50,71,88,117],"data":[6,22,51,72,118],"of":[7,11,52,73,87,101,119,128],"disparate":[8,53,74,120],"regions":[9,54,75],"is":[10,23,76,131],"great":[12],"importance":[13],"to":[14,46],"urban":[15],"management.":[17],"However,":[18],"as":[19],"structured,":[24],"temporal":[25],"and":[26,60,96,130],"often":[27],"high-dimensional,":[28],"many":[29],"traditional":[30],"dependence":[31,48,86,113],"testing":[32,85],"approaches":[33],"are":[34],"not":[35],"directly":[36],"applicable.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41],"propose":[42],"a":[43,80,125],"new":[44,107],"approach":[45,108],"test":[47,82],"based":[55],"on":[56,93],"distance":[57,66],"Correlation":[58,63],"(dCorr)":[59],"Multiscale":[61],"Generalized":[62],"(MGC).":[64],"The":[65,99],"matrix":[67],"structured":[70,116],"defined,":[77],"which":[78],"yields":[79],"consistent":[81],"statistic":[83],"for":[84],"data.":[89],"We":[90],"conduct":[91],"experiments":[92,103],"real":[95],"simulated":[97],"datasets.":[98],"results":[100],"our":[102],"demonstrate":[104],"that":[105],"can":[109],"capture":[110],"complex":[112],"regions.":[121],"Simultaneously,":[122],"it":[123],"requires":[124],"small":[126],"number":[127],"samples":[129],"computationally":[132],"efficient.":[133]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}