{"id":"https://openalex.org/W2980820631","doi":"https://doi.org/10.1007/s10489-019-01560-y","title":"Data-driven missing data imputation in cluster monitoring system based on deep neural network","display_name":"Data-driven missing data imputation in cluster monitoring system based on deep neural network","publication_year":2019,"publication_date":"2019-10-19","ids":{"openalex":"https://openalex.org/W2980820631","doi":"https://doi.org/10.1007/s10489-019-01560-y","mag":"2980820631"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-019-01560-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-019-01560-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-019-01560-y.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10489-019-01560-y.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023801714","display_name":"Jie Lin","orcid":"https://orcid.org/0000-0003-3476-7536"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Lin","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-3476-7536","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010326881","display_name":"NianHua Li","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"NianHua Li","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022836201","display_name":"Md Ashraful Alam","orcid":"https://orcid.org/0000-0003-1389-8510"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Md Ashraful Alam","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030290826","display_name":"Yuqing Ma","orcid":"https://orcid.org/0000-0003-1936-9396"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqing Ma","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023801714"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":12.0367,"has_fulltext":true,"cited_by_count":66,"citation_normalized_percentile":{"value":0.98430681,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"50","issue":"3","first_page":"860","last_page":"877"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.995199978351593,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.995199978351593,"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"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9872999787330627,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9713000059127808,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.9192571640014648},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.8643775582313538},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7925504446029663},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6642022132873535},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5706638693809509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47627323865890503},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37854257225990295},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26792651414871216}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.9192571640014648},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.8643775582313538},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7925504446029663},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6642022132873535},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5706638693809509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47627323865890503},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37854257225990295},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26792651414871216}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-019-01560-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-019-01560-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-019-01560-y.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10489-019-01560-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-019-01560-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-019-01560-y.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6079471810","display_name":null,"funder_award_id":"2018GZ0103","funder_id":"https://openalex.org/F4320333335","funder_display_name":"Sichuan Province Science and Technology Support Program"}],"funders":[{"id":"https://openalex.org/F4320333335","display_name":"Sichuan Province Science and Technology Support Program","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2980820631.pdf","grobid_xml":"https://content.openalex.org/works/W2980820631.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W191253868","https://openalex.org/W1526657239","https://openalex.org/W1531005791","https://openalex.org/W1550443206","https://openalex.org/W1943881816","https://openalex.org/W1973445088","https://openalex.org/W1978379858","https://openalex.org/W2001212167","https://openalex.org/W2010949145","https://openalex.org/W2011430131","https://openalex.org/W2044758663","https://openalex.org/W2046861417","https://openalex.org/W2078019730","https://openalex.org/W2110828928","https://openalex.org/W2128287406","https://openalex.org/W2136922672","https://openalex.org/W2154983209","https://openalex.org/W2163922914","https://openalex.org/W2191741085","https://openalex.org/W2201970442","https://openalex.org/W2396976214","https://openalex.org/W2411563882","https://openalex.org/W2470282262","https://openalex.org/W2480680997","https://openalex.org/W2485832001","https://openalex.org/W2547273589","https://openalex.org/W2549186529","https://openalex.org/W2559254298","https://openalex.org/W2577995101","https://openalex.org/W2581082906","https://openalex.org/W2748435103","https://openalex.org/W2786361040","https://openalex.org/W2786769798","https://openalex.org/W2787083635","https://openalex.org/W2791189374","https://openalex.org/W2896540728","https://openalex.org/W2898140261","https://openalex.org/W2900766238","https://openalex.org/W2902469329","https://openalex.org/W2919115771","https://openalex.org/W3022583007","https://openalex.org/W4205701142","https://openalex.org/W4300187280"],"related_works":["https://openalex.org/W2541565311","https://openalex.org/W3049453136","https://openalex.org/W2784019465","https://openalex.org/W2751555317","https://openalex.org/W569810835","https://openalex.org/W2900766238","https://openalex.org/W1973721774","https://openalex.org/W1513289763","https://openalex.org/W2112497756","https://openalex.org/W2316243772"],"abstract_inverted_index":{"Abstract":[0],"Due":[1],"to":[2,51,98,123,193],"cluster":[3,8,22,171],"instability,":[4],"not":[5],"in":[6,45],"the":[7,15,21,40,46,53,69,74,81,100,106,125,129,142,146,150,187,191],"monitoring":[9,23],"system.":[10],"This":[11,33,110],"paper":[12,111],"focuses":[13],"on":[14,133,141],"missing":[16,54,59,103,108,161,164,181,185],"data":[17,55,75,82,104,162,178],"imputation":[18,31,35,43,131,157,199],"processing":[19],"for":[20,56,159],"application":[24],"and":[25,64,83,96,166,183,197],"proposes":[26],"a":[27,62,91,119],"new":[28,34],"hybrid":[29],"multiple":[30,42,156],"framework.":[32],"approach":[36],"is":[37,136],"different":[38,167],"from":[39,80],"conventional":[41,155],"technologies":[44],"fact":[47],"that":[48,114,139,176],"it":[49],"attempts":[50],"impute":[52],"an":[57],"arbitrary":[58,107],"pattern":[60],"with":[61,105,153],"model-based":[63],"data-driven":[65,94],"combination":[66],"architecture.":[67],"Essentially,":[68],"deep":[70,78,84,120,126,134],"neural":[71,121],"network,":[72],"as":[73],"model,":[76],"extracts":[77],"features":[79,85,127,135],"are":[86],"further":[87],"calculated":[88],"then":[89],"by":[90],"regression":[92],"or":[93],"strategies":[95],"used":[97],"create":[99],"estimation":[101],"of":[102,128],"pattern.":[109],"gives":[112],"evidence":[113],"if":[115],"we":[116,148],"can":[117],"train":[118],"network":[122],"construct":[124],"data,":[130],"based":[132],"better":[137],"than":[138],"directly":[140],"original":[143],"data.":[144,172],"In":[145],"experiments,":[147],"compare":[149],"proposed":[151,188],"method":[152],"other":[154],"approaches":[158],"varying":[160],"patterns,":[163,186],"ratios,":[165],"datasets":[168],"including":[169],"real":[170],"The":[173],"result":[174],"illustrates":[175],"when":[177],"encounters":[179],"larger":[180],"ratio":[182],"various":[184],"algorithm":[189],"has":[190],"ability":[192],"achieve":[194],"more":[195],"accurate":[196],"stable":[198],"performance.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}