{"id":"https://openalex.org/W3194752195","doi":"https://doi.org/10.1080/00401706.2021.1967198","title":"An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data","display_name":"An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data","publication_year":2021,"publication_date":"2021-08-17","ids":{"openalex":"https://openalex.org/W3194752195","doi":"https://doi.org/10.1080/00401706.2021.1967198","mag":"3194752195"},"language":"en","primary_location":{"id":"doi:10.1080/00401706.2021.1967198","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.2021.1967198","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/dataset/An_Adaptive_Sampling_Strategy_for_Online_Monitoring_and_Diagnosis_of_High-dimensional_Streaming_Data/15177876","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067725154","display_name":"Ana Mar\u00eda Estrada G\u00f3mez","orcid":"https://orcid.org/0009-0001-5116-8503"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ana Mar\u00eda Estrada G\u00f3mez","raw_affiliation_strings":["School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA"],"affiliations":[{"raw_affiliation_string":"School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380657","display_name":"Dan Li","orcid":"https://orcid.org/0000-0001-6016-454X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Li","raw_affiliation_strings":["School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA"],"affiliations":[{"raw_affiliation_string":"School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072570845","display_name":"Kamran Paynabar","orcid":"https://orcid.org/0000-0002-6906-3611"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kamran Paynabar","raw_affiliation_strings":["School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA"],"affiliations":[{"raw_affiliation_string":"School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072570845"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":2.3798,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.90606514,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"64","issue":"2","first_page":"253","last_page":"269"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9980000257492065,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9908000230789185,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.599096953868866},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.5851008892059326},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5632104277610779},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5560822486877441},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3618559241294861},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3474121689796448},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1990562379360199},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1425286829471588}],"concepts":[{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.599096953868866},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.5851008892059326},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5632104277610779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5560822486877441},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3618559241294861},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3474121689796448},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1990562379360199},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1425286829471588},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/00401706.2021.1967198","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.2021.1967198","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-article"},{"id":"pmh:oai:figshare.com:article/15177876","is_oa":true,"landing_page_url":"https://figshare.com/articles/dataset/An_Adaptive_Sampling_Strategy_for_Online_Monitoring_and_Diagnosis_of_High-dimensional_Streaming_Data/15177876","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Dataset"},{"id":"doi:10.6084/m9.figshare.15177876.v3","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.15177876.v3","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/15177876","is_oa":true,"landing_page_url":"https://figshare.com/articles/dataset/An_Adaptive_Sampling_Strategy_for_Online_Monitoring_and_Diagnosis_of_High-dimensional_Streaming_Data/15177876","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Dataset"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5078464304","display_name":null,"funder_award_id":"CMMI-1839591","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337391","display_name":"Division of Civil, Mechanical and Manufacturing Innovation","ror":"https://ror.org/028yd4c30"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1182682356","https://openalex.org/W1814521481","https://openalex.org/W1982012380","https://openalex.org/W1982142851","https://openalex.org/W1986326495","https://openalex.org/W1989562092","https://openalex.org/W1995691260","https://openalex.org/W1999136078","https://openalex.org/W2005126631","https://openalex.org/W2008668719","https://openalex.org/W2021609373","https://openalex.org/W2024165284","https://openalex.org/W2045067839","https://openalex.org/W2091449379","https://openalex.org/W2094660994","https://openalex.org/W2095303958","https://openalex.org/W2097955094","https://openalex.org/W2106221905","https://openalex.org/W2106632614","https://openalex.org/W2124192278","https://openalex.org/W2141280932","https://openalex.org/W2142753079","https://openalex.org/W2154996488","https://openalex.org/W2167167503","https://openalex.org/W2170140722","https://openalex.org/W2283679166","https://openalex.org/W2293302691","https://openalex.org/W2341990530","https://openalex.org/W2342643507","https://openalex.org/W2522892545","https://openalex.org/W2559873324","https://openalex.org/W2607420770","https://openalex.org/W2734129016","https://openalex.org/W2766702586","https://openalex.org/W2790496887","https://openalex.org/W2794643291","https://openalex.org/W2898699838","https://openalex.org/W2970545240","https://openalex.org/W3106889297","https://openalex.org/W4301014524"],"related_works":["https://openalex.org/W2038693912","https://openalex.org/W1991602789","https://openalex.org/W1582396021","https://openalex.org/W1988359706","https://openalex.org/W312558119","https://openalex.org/W4210985407","https://openalex.org/W3107697994","https://openalex.org/W2335441444","https://openalex.org/W138014004","https://openalex.org/W2075598034"],"abstract_inverted_index":{"Statistical":[0],"process":[1,10,43],"control":[2],"techniques":[3],"have":[4],"been":[5],"widely":[6],"used":[7],"for":[8,76],"online":[9,34,77],"monitoring":[11,78],"and":[12,23,79,118,129,143,153],"diagnosis":[13,80],"of":[14,96,110,122],"streaming":[15,99],"data":[16,35,62,100,112,116,136],"in":[17],"various":[18],"applications,":[19,28],"including":[20],"manufacturing,":[21],"healthcare,":[22],"environmental":[24],"engineering.":[25],"In":[26,48],"some":[27],"the":[29,42,65,93,97,107,111,120,147],"sensing":[30],"system":[31],"that":[32],"collects":[33],"can":[36],"only":[37],"provide":[38],"partial":[39],"information":[40],"from":[41],"due":[44],"to":[45,57,60,105,131,134],"resource":[46],"constraints.":[47],"such":[49],"cases,":[50],"an":[51,72,123],"adaptive":[52,73,124],"sampling":[53,74,125],"strategy":[54,75],"is":[55,151],"needed":[56],"decide":[58,132],"where":[59,133],"collect":[61,135],"while":[63,113],"maximizing":[64],"change":[66],"detection":[67],"capability.":[68],"This":[69],"article":[70],"proposes":[71],"with":[81,155],"partially":[82],"observed":[83],"data.":[84],"The":[85],"proposed":[86,148],"methodology":[87],"integrates":[88],"two":[89,144],"novel":[90],"ideas":[91],"(i)":[92],"recursive":[94],"projection":[95],"high-dimensional":[98],"onto":[101],"a":[102],"low-dimensional":[103],"subspace":[104],"capture":[106],"spatio-temporal":[108],"structure":[109],"performing":[114],"missing":[115],"imputation;":[117],"(ii)":[119],"development":[121],"scheme,":[126],"balancing":[127],"exploration":[128],"exploitation,":[130],"at":[137],"each":[138],"acquisition":[139],"time.":[140],"Through":[141],"simulations":[142],"case":[145],"studies,":[146],"framework\u2019s":[149],"performance":[150],"evaluated":[152],"compared":[154],"benchmark":[156],"methods.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
