{"id":"https://openalex.org/W2897290534","doi":"https://doi.org/10.1109/access.2018.2876701","title":"Multi-Attribute Missing Data Reconstruction Based on Adaptive Weighted Nuclear Norm Minimization in IoT","display_name":"Multi-Attribute Missing Data Reconstruction Based on Adaptive Weighted Nuclear Norm Minimization in IoT","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2897290534","doi":"https://doi.org/10.1109/access.2018.2876701","mag":"2897290534"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2876701","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2876701","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2876701","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100784942","display_name":"Xiang Yu","orcid":"https://orcid.org/0000-0002-8527-7708"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Yu","raw_affiliation_strings":["School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101991270","display_name":"Fan Xia","orcid":"https://orcid.org/0000-0001-6644-1376"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Fan","raw_affiliation_strings":["School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-6644-1376","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636629","display_name":"Kan Chen","orcid":"https://orcid.org/0000-0002-4002-7297"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kan Chen","raw_affiliation_strings":["School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-4002-7297","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063448571","display_name":"Sirui Duan","orcid":"https://orcid.org/0000-0002-2182-8478"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sirui Duan","raw_affiliation_strings":["School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9477,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.78618588,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"6","issue":null,"first_page":"61419","last_page":"61431"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7318483591079712},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7314144372940063},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6578243970870972},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5936582684516907},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5401560068130493},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5172670483589172},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.44086676836013794},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4237004220485687},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.41688868403434753},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4046611487865448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30110812187194824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1719711720943451}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7318483591079712},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7314144372940063},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6578243970870972},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5936582684516907},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5401560068130493},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5172670483589172},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.44086676836013794},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4237004220485687},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.41688868403434753},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4046611487865448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30110812187194824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1719711720943451},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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:10.1109/access.2018.2876701","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2876701","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fdd195ded493473dbd6fb4436f7f373c","is_oa":true,"landing_page_url":"https://doaj.org/article/fdd195ded493473dbd6fb4436f7f373c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 61419-61431 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2876701","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2876701","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W84374273","https://openalex.org/W1898178333","https://openalex.org/W1977556410","https://openalex.org/W1987912943","https://openalex.org/W1993934995","https://openalex.org/W2007918932","https://openalex.org/W2019796561","https://openalex.org/W2063453240","https://openalex.org/W2070807660","https://openalex.org/W2091449379","https://openalex.org/W2095778701","https://openalex.org/W2103972604","https://openalex.org/W2105103777","https://openalex.org/W2114009629","https://openalex.org/W2120270028","https://openalex.org/W2120802181","https://openalex.org/W2122111042","https://openalex.org/W2126311411","https://openalex.org/W2127862223","https://openalex.org/W2137434741","https://openalex.org/W2139515706","https://openalex.org/W2144949364","https://openalex.org/W2154721480","https://openalex.org/W2164278908","https://openalex.org/W2167296824","https://openalex.org/W2169978421","https://openalex.org/W2243451334","https://openalex.org/W2505029951","https://openalex.org/W2513938788","https://openalex.org/W2519108489","https://openalex.org/W2548389064","https://openalex.org/W2611328865","https://openalex.org/W2612206154","https://openalex.org/W2756287403","https://openalex.org/W2795231562","https://openalex.org/W2886757136","https://openalex.org/W2892165678","https://openalex.org/W4229923642","https://openalex.org/W6652335305","https://openalex.org/W6737518603","https://openalex.org/W6747830407"],"related_works":["https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4380150146","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W2208932071","https://openalex.org/W2106005123","https://openalex.org/W3152273675","https://openalex.org/W2776849335"],"abstract_inverted_index":{"In":[0,57],"the":[1,37,89,124,143,166,180,191],"Internet":[2],"of":[3,16,39,103,129,147,170,222],"Things,":[4],"data":[5,53,64,131,188],"sets":[6],"gathered":[7],"from":[8,190],"sensor":[9,40,130,187],"nodes":[10],"are":[11],"missing":[12,63,198,202,206,235],"a":[13,60,77,107,185,219,229],"significant":[14],"fraction":[15],"data,":[17],"owing":[18],"to":[19,46,49,87,93,116,158,172,231],"noise,":[20],"collision,":[21],"unreliable":[22],"links,":[23],"and":[24,76,132,204,224],"unexpected":[25],"damage.":[26],"This":[27],"phenomenon":[28],"is":[29,43,74,81],"more":[30],"serious":[31],"in":[32,97,233],"some":[33],"scenarios,":[34],"which":[35,153],"limits":[36],"applications":[38],"data.":[41],"It":[42],"therefore":[44],"necessary":[45],"develop":[47],"methods":[48],"reconstruct":[50],"these":[51],"lost":[52],"with":[54,196,218],"high":[55],"accuracy.":[56,91],"this":[58,84],"paper,":[59],"new":[61],"multi-attribute":[62],"reconstruction":[65],"method":[66,146,169,182],"based":[67,141],"on":[68,142],"adaptive":[69],"weighted":[70,149],"nuclear":[71,150],"norm":[72,151],"minimization":[73],"developed,":[75],"K-means":[78,113],"clustering":[79,114],"analysis":[80],"embedded":[82],"into":[83,119],"forecasting":[85],"process":[86],"improve":[88],"prediction":[90],"First,":[92],"ensure":[94],"that":[95,212],"sensors":[96,118],"one":[98],"group":[99],"have":[100],"similar":[101],"patterns":[102],"measurement,":[104],"we":[105,137,164,178],"use":[106,165],"traditional":[108],"machine":[109],"learning":[110],"algorithm,":[111],"called":[112],"algorithm":[115,140,214],"separate":[117],"different":[120,156],"groups.":[121],"Second,":[122],"considering":[123],"correlations":[125],"among":[126],"multiple":[127],"attributes":[128],"its":[133,174],"joint":[134],"low-rank":[135],"characteristics,":[136],"propose":[138],"an":[139],"matrix":[144],"rank-minimization":[145],"automatic":[148],"minimization,":[152],"adaptively":[154],"assigns":[155],"weights":[157],"each":[159],"singular":[160],"value":[161],"simultaneously.":[162],"Moreover,":[163],"alternating":[167],"direction":[168],"multipliers":[171],"obtain":[173],"optimal":[175],"solution.":[176],"Finally,":[177],"evaluate":[179],"proposed":[181],"by":[183],"using":[184],"real":[186],"set":[189],"Intel":[192],"Berkeley":[193],"Research":[194],"Laboratory":[195],"two":[197],"patterns,":[199],"namely,":[200],"random":[201],"pattern":[203],"consecutive":[205],"pattern.":[207],"The":[208],"simulation":[209],"results":[210],"prove":[211],"our":[213],"performs":[215],"well":[216],"even":[217],"small":[220],"number":[221],"samples,":[223],"it":[225],"can":[226],"propagate":[227],"through":[228],"structure":[230],"fill":[232],"large":[234],"regions.":[236]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}