{"id":"https://openalex.org/W2737926459","doi":"https://doi.org/10.1109/jiot.2017.2728705","title":"Device Clustering Algorithm Based on Multimodal Data Correlation in Cognitive Internet of Things","display_name":"Device Clustering Algorithm Based on Multimodal Data Correlation in Cognitive Internet of Things","publication_year":2017,"publication_date":"2017-07-18","ids":{"openalex":"https://openalex.org/W2737926459","doi":"https://doi.org/10.1109/jiot.2017.2728705","mag":"2737926459"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2017.2728705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2017.2728705","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/A5009824003","display_name":"Kai Lin","orcid":"https://orcid.org/0000-0002-9529-4317"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Lin","raw_affiliation_strings":["School of Computer Science and Technology, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-9529-4317","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401420","display_name":"Di Wang","orcid":"https://orcid.org/0000-0002-3171-4001"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Wang","raw_affiliation_strings":["School of Computer Science and Technology, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108830969","display_name":"Fuzhen Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuzhen Xia","raw_affiliation_strings":["School of Computer Science and Technology, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091010251","display_name":"Hongwei Ge","orcid":"https://orcid.org/0000-0002-8937-1515"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongwei Ge","raw_affiliation_strings":["School of Computer Science and Technology, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-8937-1515","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":2.3435,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.88863649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"5","issue":"4","first_page":"2263","last_page":"2271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9354000091552734,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8258993029594421},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8108760118484497},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6472024321556091},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6428223252296448},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.5352945923805237},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46549829840660095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3880505859851837},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3353729844093323},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3205016255378723},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07971888780593872}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8258993029594421},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8108760118484497},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6472024321556091},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6428223252296448},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.5352945923805237},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46549829840660095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3880505859851837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3353729844093323},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3205016255378723},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07971888780593872},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2017.2728705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2017.2728705","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G4021267216","display_name":null,"funder_award_id":"DUT16QY18","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1613448136","https://openalex.org/W1836741323","https://openalex.org/W1954857041","https://openalex.org/W1968773071","https://openalex.org/W1975900269","https://openalex.org/W1994164663","https://openalex.org/W2029064186","https://openalex.org/W2061724334","https://openalex.org/W2080403625","https://openalex.org/W2085487226","https://openalex.org/W2100235303","https://openalex.org/W2118608338","https://openalex.org/W2135046866","https://openalex.org/W2186864355","https://openalex.org/W2211092169","https://openalex.org/W2313528934","https://openalex.org/W2537240387","https://openalex.org/W2565183931","https://openalex.org/W2565358069","https://openalex.org/W2576857800","https://openalex.org/W2598898897","https://openalex.org/W2601172051","https://openalex.org/W2604177827","https://openalex.org/W2606698885","https://openalex.org/W2894310146","https://openalex.org/W6636447677","https://openalex.org/W6677562262","https://openalex.org/W6686689583"],"related_works":["https://openalex.org/W2367413540","https://openalex.org/W1968846550","https://openalex.org/W1991315556","https://openalex.org/W4387164999","https://openalex.org/W2070623039","https://openalex.org/W2006749424","https://openalex.org/W3131670725","https://openalex.org/W2155515508","https://openalex.org/W2334424990","https://openalex.org/W2354853260"],"abstract_inverted_index":{"With":[0],"the":[1,6,18,32,47,68,74,82,88,94,100,104,118,121,126,144,164,170,176],"development":[2],"of":[3,8,10,35,49,87,96,103,120,146,172],"information":[4,102],"network,":[5],"popularity":[7],"Internet":[9],"Things":[11],"(IoT)":[12],"is":[13,23,37,63,90,114],"an":[14],"irreversible":[15],"trend,":[16],"and":[17,26,41,80,99,159,175],"intelligent":[19,177],"demands":[20],"for":[21,140],"IoT":[22,36,51],"becoming":[24],"more":[25,27],"urgent.":[28],"How":[29],"to":[30,46,72,124],"improve":[31,169],"cognitive":[33,50],"ability":[34],"a":[38,56,78,107,131],"new":[39],"challenge":[40],"therefore":[42],"has":[43],"given":[44],"rise":[45],"emergence":[48],"(CIoT).":[52],"In":[53],"this":[54],"paper,":[55],"device-level":[57],"multimodal":[58,137,147],"data":[59,75,83,97,138,148,173],"correlation":[60,70,86,98,122,139,149],"mining":[61],"model":[62,110],"first":[64],"designed":[65],"based":[66,92,135],"on":[67,93,136],"canonical":[69],"analysis":[71,123],"transform":[73],"feature":[76],"into":[77],"subspace":[79],"analyze":[81,150],"correlation.":[84],"The":[85],"device":[89,112,132,152],"obtained":[91],"comprehensive":[95],"location":[101],"device.":[105,127],"Then":[106],"heterogeneous":[108],"clustering":[109,133],"(heterogeneous":[111],"clustering)":[113],"proposed":[115,165],"by":[116],"using":[117],"result":[119],"classify":[125],"Finally,":[128],"we":[129],"propose":[130],"algorithm":[134,166],"CIoT,":[141],"which":[142],"combines":[143],"functions":[145],"with":[151],"clustering.":[153],"Extensive":[154],"simulations":[155],"are":[156],"carried":[157],"out":[158],"our":[160],"results":[161],"show":[162],"that":[163],"can":[167],"effectively":[168],"quality":[171],"transmission":[174],"service.":[178]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
