{"id":"https://openalex.org/W3009660772","doi":"https://doi.org/10.23919/cnsm46954.2019.9012748","title":"A Study of Simple Partially-Recovered Sensor Data Imputation Methods","display_name":"A Study of Simple Partially-Recovered Sensor Data Imputation Methods","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3009660772","doi":"https://doi.org/10.23919/cnsm46954.2019.9012748","mag":"3009660772"},"language":"en","primary_location":{"id":"doi:10.23919/cnsm46954.2019.9012748","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cnsm46954.2019.9012748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 15th International Conference on Network and Service Management (CNSM)","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/A5064515309","display_name":"Christoph Sydora","orcid":"https://orcid.org/0000-0002-2092-1160"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Christoph Sydora","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, AB, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036921113","display_name":"Johannes Jung","orcid":"https://orcid.org/0000-0003-0137-7929"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Johannes Jung","raw_affiliation_strings":["Department of Informatics Technical, University of Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Informatics Technical, University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087930118","display_name":"Ioanis Nikolaidis","orcid":"https://orcid.org/0000-0003-1469-5280"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ioanis Nikolaidis","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, AB, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064515309"],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":0.1769,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57786108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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":0.9976000189781189,"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":0.9976000189781189,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9925000071525574,"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/T11106","display_name":"Data Management and Algorithms","score":0.9527999758720398,"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/imputation","display_name":"Imputation (statistics)","score":0.823916494846344},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7988669276237488},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7465621829032898},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7201182842254639},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5131953358650208},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.5021789073944092},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.46718791127204895},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4656786322593689},{"id":"https://openalex.org/keywords/data-loss","display_name":"Data loss","score":0.44234994053840637},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20175465941429138},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19715416431427002},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10707622766494751}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.823916494846344},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7988669276237488},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7465621829032898},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7201182842254639},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5131953358650208},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.5021789073944092},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.46718791127204895},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4656786322593689},{"id":"https://openalex.org/C193519340","wikidata":"https://www.wikidata.org/wiki/Q891179","display_name":"Data loss","level":2,"score":0.44234994053840637},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20175465941429138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19715416431427002},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10707622766494751},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/cnsm46954.2019.9012748","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cnsm46954.2019.9012748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 15th International Conference on Network and Service Management (CNSM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W653924242","https://openalex.org/W1876878732","https://openalex.org/W2045531872","https://openalex.org/W2052196819","https://openalex.org/W2070807660","https://openalex.org/W2085097378","https://openalex.org/W2095223629","https://openalex.org/W2164706953","https://openalex.org/W2211980915","https://openalex.org/W2252684825","https://openalex.org/W2312404987","https://openalex.org/W2626203758","https://openalex.org/W2742456370","https://openalex.org/W2769597297","https://openalex.org/W4235858243","https://openalex.org/W4285719527","https://openalex.org/W6639388188","https://openalex.org/W6671758992","https://openalex.org/W6739667479"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549","https://openalex.org/W3123177881"],"abstract_inverted_index":{"We":[0,69,111],"consider":[1,112],"the":[2,18,24,33,37,46,71,75,82,90,94,104,109,114,128],"problem":[3],"of":[4,6,23,36,45,56,81,93,108,121],"loss":[5],"continuous":[7],"data":[8,26,58,67,95,124],"feeds":[9],"from":[10],"sensor":[11],"networks,":[12],"due":[13],"to":[14],"transient":[15],"failures.":[16],"Because":[17],"failures":[19],"are":[20],"recoverable,":[21],"part":[22],"missing":[25,47,123],"may":[27],"be,":[28],"eventually,":[29],"acquired.":[30],"Even":[31],"then,":[32],"limited":[34],"resources":[35],"nodes":[38],"can":[39],"result":[40],"in":[41,74],"an":[42],"incomplete":[43],"reconstruction":[44],"data.":[48,110],"In":[49],"this":[50],"paper":[51],"we":[52],"study":[53],"a":[54,65],"set":[55],"proposed":[57,76],"imputation":[59],"methods,":[60],"and":[61,97],"their":[62],"variations,":[63],"on":[64,89],"real":[66],"set.":[68],"determine":[70],"tradeoffs":[72],"involved":[73],"techniques.":[77],"A":[78],"common":[79],"characteristic":[80],"studied":[83],"techniques":[84],"is":[85,125],"that":[86],"they":[87],"depend":[88],"recent":[91],"behavior":[92,107],"stream":[96],"do":[98],"not":[99],"make":[100],"specific":[101],"assumptions":[102],"about":[103],"long-term":[105],"stochastic":[106],"also":[113],"case":[115],"where":[116],"simple,":[117],"sub-sampling":[118],"based,":[119],"handling":[120],"accumulated":[122],"implemented":[126],"by":[127],"nodes.":[129]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}