{"id":"https://openalex.org/W4390494201","doi":"https://doi.org/10.1109/snams60348.2023.10375473","title":"The Impact of Imputation Methods on the Classification of Household Devices from Electricity Usage Time Series","display_name":"The Impact of Imputation Methods on the Classification of Household Devices from Electricity Usage Time Series","publication_year":2023,"publication_date":"2023-11-21","ids":{"openalex":"https://openalex.org/W4390494201","doi":"https://doi.org/10.1109/snams60348.2023.10375473"},"language":"en","primary_location":{"id":"doi:10.1109/snams60348.2023.10375473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snams60348.2023.10375473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS)","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/A5034080501","display_name":"Roberto Santana","orcid":"https://orcid.org/0000-0002-1005-8535"},"institutions":[{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Roberto Santana","raw_affiliation_strings":["University of the Basque Country (UPV/EHU),Intelligent Systems Group,San Sebastian,Spain","Intelligent Systems Group, University of the Basque Country (UPV/EHU), San Sebastian, Spain"],"affiliations":[{"raw_affiliation_string":"University of the Basque Country (UPV/EHU),Intelligent Systems Group,San Sebastian,Spain","institution_ids":["https://openalex.org/I169108374"]},{"raw_affiliation_string":"Intelligent Systems Group, University of the Basque Country (UPV/EHU), San Sebastian, Spain","institution_ids":["https://openalex.org/I169108374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5034080501"],"corresponding_institution_ids":["https://openalex.org/I169108374"],"apc_list":null,"apc_paid":null,"fwci":0.4075,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60619718,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.967199981212616,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9546999931335449,"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/imputation","display_name":"Imputation (statistics)","score":0.916441798210144},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7643868327140808},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6010958552360535},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5540715456008911},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5401567220687866},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5074743628501892},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.46197310090065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45174193382263184},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4274291694164276},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11199742555618286}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.916441798210144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7643868327140808},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6010958552360535},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5540715456008911},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5401567220687866},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5074743628501892},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.46197310090065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45174193382263184},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4274291694164276},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11199742555618286},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/snams60348.2023.10375473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snams60348.2023.10375473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8100000023841858,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1599165315","https://openalex.org/W1900747440","https://openalex.org/W1968354112","https://openalex.org/W1989899730","https://openalex.org/W1992830012","https://openalex.org/W2020517213","https://openalex.org/W2050493487","https://openalex.org/W2085103107","https://openalex.org/W2107911116","https://openalex.org/W2118529802","https://openalex.org/W2123910460","https://openalex.org/W2124519329","https://openalex.org/W2136132422","https://openalex.org/W2147907761","https://openalex.org/W2158396349","https://openalex.org/W2166547175","https://openalex.org/W2410961113","https://openalex.org/W2512151484","https://openalex.org/W2581867724","https://openalex.org/W2735864302","https://openalex.org/W2892035503","https://openalex.org/W2946547492","https://openalex.org/W2964049638","https://openalex.org/W2967988901","https://openalex.org/W2970148418","https://openalex.org/W2982438846","https://openalex.org/W3035125997","https://openalex.org/W3042807565","https://openalex.org/W3119804359","https://openalex.org/W3121596808","https://openalex.org/W3128007949","https://openalex.org/W3186145246","https://openalex.org/W3193546170","https://openalex.org/W3196402958","https://openalex.org/W4213308398","https://openalex.org/W4226043485","https://openalex.org/W4285183459","https://openalex.org/W4288039427","https://openalex.org/W4297796805","https://openalex.org/W4390483339","https://openalex.org/W6692319373","https://openalex.org/W6738858261","https://openalex.org/W6748152062","https://openalex.org/W6849292070"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549"],"abstract_inverted_index":{"The":[0],"classification":[1,21,46],"of":[2,45,56,62,79],"household":[3],"devices":[4],"from":[5,31],"electricity":[6],"usage":[7],"profile":[8],"is":[9,26,36],"a":[10],"relevant":[11],"problem":[12],"that":[13,72],"has":[14],"been":[15],"addressed":[16],"using":[17],"different":[18],"time":[19,29,64],"series":[20,30,65],"algorithms.":[22,47],"While":[23],"missing":[24],"data":[25],"common":[27],"in":[28,59],"the":[32,43,54,60,76,88],"energy":[33],"domain,":[34],"it":[35],"an":[37],"open":[38],"question":[39],"how":[40],"data-imputation":[41],"impacts":[42],"performance":[44,61],"In":[48],"this":[49,68],"paper":[50],"we":[51],"empirically":[52],"investigate":[53],"influence":[55],"imputation":[57,81],"strategies":[58,82],"state-of-the-art":[63],"classifiers":[66,85],"for":[67,73],"problem.":[69],"We":[70],"show":[71],"some":[74],"datasets":[75],"combined":[77],"application":[78],"simple":[80],"and":[83],"advanced":[84],"can":[86],"improve":[87],"best":[89],"accuracy":[90],"results.":[91]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
