{"id":"https://openalex.org/W7220437328","doi":"https://doi.org/10.1145/3799682.3840280","title":"TSGuard: A Real-Time Framework for Detecting and Imputing Missing Data in Streaming Time Series","display_name":"TSGuard: A Real-Time Framework for Detecting and Imputing Missing Data in Streaming Time Series","publication_year":2026,"publication_date":"2026-11-03","ids":{"openalex":"https://openalex.org/W7220437328","doi":"https://doi.org/10.1145/3799682.3840280"},"language":"en","primary_location":{"id":"doi:10.1145/3799682.3840280","doi":"https://doi.org/10.1145/3799682.3840280","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3799682.3840280","pdf_url":null,"source":{"id":"https://openalex.org/S4393918199","display_name":"ACM International Conference on Information and Knowledge Management (CIKM)","issn_l":"2155-0751","issn":["2155-0751"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3799682.3840280","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135291996","display_name":"Imane HOCINE","orcid":"https://orcid.org/0000-0002-9992-577X","observed_orcids":["https://orcid.org/0000-0002-9992-577X"]},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Imane Hocine","raw_affiliation_strings":["Snt, University of Luxembourg, Esch-sur-Alzette, Luxembourg"],"raw_orcid":"https://orcid.org/0000-0002-9992-577X","affiliations":[{"raw_affiliation_string":"Snt, University of Luxembourg, Esch-sur-Alzette, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046968208","display_name":"Asma Abboura","orcid":"https://orcid.org/0009-0002-1740-088X","observed_orcids":["https://orcid.org/0009-0002-1740-088X"]},"institutions":[{"id":"https://openalex.org/I4210164694","display_name":"Hassiba Benbouali University of Chlef","ror":"https://ror.org/04yymzm67","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210164694"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Asma Abboura","raw_affiliation_strings":["University of Hassiba Benbouali of Chlef, Chlef, Algeria"],"raw_orcid":"https://orcid.org/0009-0002-1740-088X","affiliations":[{"raw_affiliation_string":"University of Hassiba Benbouali of Chlef, Chlef, Algeria","institution_ids":["https://openalex.org/I4210164694"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039032451","display_name":"Soror Sahri","orcid":"https://orcid.org/0000-0002-1554-7565","observed_orcids":["https://orcid.org/0000-0002-1554-7565"]},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Soror Sahri","raw_affiliation_strings":["Universit\u00e9 Paris Cit\u00e9, Paris, France"],"raw_orcid":"https://orcid.org/0000-0002-1554-7565","affiliations":[{"raw_affiliation_string":"Universit\u00e9 Paris Cit\u00e9, Paris, France","institution_ids":["https://openalex.org/I204730241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5157394148","display_name":"Abhijith Senthilkumar","orcid":"https://orcid.org/0009-0004-5063-3882","observed_orcids":["https://orcid.org/0009-0004-5063-3882"]},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Abhijith Senthilkumar","raw_affiliation_strings":["SnT, University of Luxembourg, Esch-sur-Alzette, Luxembourg"],"raw_orcid":"https://orcid.org/0009-0004-5063-3882","affiliations":[{"raw_affiliation_string":"SnT, University of Luxembourg, Esch-sur-Alzette, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040778696","display_name":"Yacine Hakimi","orcid":"https://orcid.org/0009-0005-4820-8091","observed_orcids":["https://orcid.org/0009-0005-4820-8091"]},"institutions":[{"id":"https://openalex.org/I4210149016","display_name":"\u00c9cole Nationale Sup\u00e9rieure d'Informatique","ror":"https://ror.org/04dj1dn66","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210149016"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Yacine Hakimi","raw_affiliation_strings":["\u00c9cole Nationale Sup\u00e9rieure d'Informatique, Algiers, Algeria"],"raw_orcid":"https://orcid.org/0009-0005-4820-8091","affiliations":[{"raw_affiliation_string":"\u00c9cole Nationale Sup\u00e9rieure d'Informatique, Algiers, Algeria","institution_ids":["https://openalex.org/I4210149016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107678280","display_name":"Gr\u00e9goire Danoy","orcid":"https://orcid.org/0000-0001-9419-4210","observed_orcids":["https://orcid.org/0000-0001-9419-4210"]},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Gr\u00e9goire Danoy","raw_affiliation_strings":["FSTM/DCS and SnT, University of Luxembourg, Esch-sur-Alzette, Luxembourg"],"raw_orcid":"https://orcid.org/0000-0001-9419-4210","affiliations":[{"raw_affiliation_string":"FSTM/DCS and SnT, University of Luxembourg, Esch-sur-Alzette, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9129","last_page":"9133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.4113999903202057,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.4113999903202057,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.3208000063896179,"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/T14427","display_name":"Environmental Monitoring and Data Management","score":0.05990000069141388,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/missing-data-imputation","display_name":"missing data imputation","score":0.9480000138282776},{"id":"https://openalex.org/keywords/streaming-time-series","display_name":"streaming time series","score":0.9860000014305115},{"id":"https://openalex.org/keywords/sensor-data-quality","display_name":"sensor data quality","score":0.7799999713897705},{"id":"https://openalex.org/keywords/real-time-monitoring","display_name":"real-time monitoring","score":0.6110000014305115},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"anomaly detection","score":0.7919999957084656},{"id":"https://openalex.org/keywords/interactive-explanations","display_name":"interactive explanations","score":0.5460000038146973},{"id":"https://openalex.org/keywords/environmental-sensing","display_name":"environmental sensing","score":0.7839999794960022}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.8758000135421753},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.8740000128746033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7854999899864197},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6640999913215637},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6607999801635742},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.600600004196167},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4864000082015991},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.388700008392334},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.3562000095844269},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.32760000228881836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3172999918460846},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3066999912261963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3000999987125397},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.2791999876499176}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3799682.3840280","doi":"https://doi.org/10.1145/3799682.3840280","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3799682.3840280","pdf_url":null,"source":{"id":"https://openalex.org/S4393918199","display_name":"ACM International Conference on Information and Knowledge Management (CIKM)","issn_l":"2155-0751","issn":["2155-0751"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2610.03147","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.03147","pdf_url":"https://arxiv.org/pdf/2610.03147","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2610.03147","doi":"https://doi.org/10.48550/arxiv.2610.03147","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2610.03147","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1145/3799682.3840280","doi":"https://doi.org/10.1145/3799682.3840280","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3799682.3840280","pdf_url":null,"source":{"id":"https://openalex.org/S4393918199","display_name":"ACM International Conference on Information and Knowledge Management (CIKM)","issn_l":"2155-0751","issn":["2155-0751"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G4618671857","display_name":"SpacE data bRokEriNg optImizaTion sYstem","funder_award_id":"POLLUX-XI/15/Serenity/2023","funder_id":"https://openalex.org/F4320335039","funder_display_name":"Narodowe Centrum Bada\u0144 i Rozwoju"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320321038","display_name":"Fonds National de la Recherche Luxembourg","ror":"https://ror.org/039z13y21"},{"id":"https://openalex.org/F4320335039","display_name":"Narodowe Centrum Bada\u0144 i Rozwoju","ror":"https://ror.org/05pwfyy15"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7220437328.pdf","grobid_xml":"https://content.openalex.org/works/W7220437328.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W3135808354","https://openalex.org/W4206065759","https://openalex.org/W4287062502","https://openalex.org/W4319453451","https://openalex.org/W4385270120","https://openalex.org/W4386768658","https://openalex.org/W4391054888","https://openalex.org/W4402857865","https://openalex.org/W4408516051"],"related_works":["https://openalex.org/W4391054888","https://openalex.org/W4388717662","https://openalex.org/W7197015712","https://openalex.org/W4200427393","https://openalex.org/W4413237333","https://openalex.org/W4413238672","https://openalex.org/W7163562190","https://openalex.org/W2970044944","https://openalex.org/W4404181037","https://openalex.org/W4413360223"],"abstract_inverted_index":{"Streaming":[0],"sensor":[1],"applications":[2],"routinely":[3],"suffer":[4],"from":[5],"delayed":[6,138],"or":[7,15,36,117],"missing":[8,55,98],"observations":[9,35],"caused":[10],"by":[11],"faults,":[12],"communication":[13],"losses,":[14],"environmental":[16,126],"interference.":[17],"Although":[18],"recent":[19],"imputation":[20,67,80],"methods":[21],"exploit":[22],"temporal":[23,66],"and":[24,53,74,104,107,144,160,175],"spatial":[25,105],"dependencies":[26],"effectively,":[27],"most":[28],"either":[29,108],"assume":[30],"offline":[31],"access":[32],"to":[33,136],"future":[34],"prioritize":[37],"throughput":[38],"without":[39],"enforcing":[40],"domain":[41,123],"plausibility.":[42],"We":[43],"present":[44],"TSGuard,":[45],"a":[46,63,90,114,129],"real-time":[47],"demonstration":[48],"system":[49],"for":[50,177],"monitoring,":[51],"validating,":[52],"imputing":[54],"values":[56,147],"in":[57,148],"streaming":[58],"time":[59],"series.":[60],"TSGuard":[61,86],"combines":[62],"lightweight":[64,154],"graph-aware":[65],"model":[68],"with":[69],"constraint-aware":[70],"validation,":[71,159],"fallback":[72],"estimation,":[73],"operator-facing":[75],"explanations.":[76],"Rather":[77],"than":[78],"treating":[79],"as":[81,113,128],"an":[82],"isolated":[83],"prediction":[84],"task,":[85],"integrates":[87],"it":[88,119,121],"into":[89],"broader":[91],"data-quality":[92],"loop:":[93],"detect":[94],"problematic":[95],"observations,":[96],"impute":[97],"values,":[99],"validate":[100,145],"estimated":[101],"against":[102],"physical":[103],"constraints,":[106,143],"retain":[109],"the":[110,132],"original":[111],"value":[112],"plausible":[115],"anomaly":[116],"replace":[118],"when":[120],"violates":[122],"constraints.":[124],"Using":[125],"sensing":[127],"motivating":[130],"setting,":[131],"demo":[133],"enables":[134],"users":[135],"inspect":[137],"sensors,":[139],"compare":[140],"imputers,":[141],"define":[142],"flagged":[146],"real":[149],"time.":[150],"The":[151],"combination":[152],"of":[153],"online":[155],"spatiotemporal":[156],"imputation,":[157],"domain-aware":[158],"explicit":[161],"retain-or-replace":[162],"decisions":[163,173],"is":[164],"our":[165],"central":[166],"contribution,":[167],"while":[168],"interactive":[169],"explanations":[170],"make":[171],"these":[172],"inspectable":[174],"actionable.":[176],"operators.":[178]},"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2026-10-06T00:00:00"}