{"id":"https://openalex.org/W3140696046","doi":"https://doi.org/10.1109/wsc48552.2020.9383921","title":"Revisiting Subset Selection","display_name":"Revisiting Subset Selection","publication_year":2020,"publication_date":"2020-12-14","ids":{"openalex":"https://openalex.org/W3140696046","doi":"https://doi.org/10.1109/wsc48552.2020.9383921","mag":"3140696046"},"language":"en","primary_location":{"id":"doi:10.1109/wsc48552.2020.9383921","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc48552.2020.9383921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5029732249","display_name":"David J. Eckman","orcid":"https://orcid.org/0000-0002-6473-6434"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David J. Eckman","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086680431","display_name":"Matthew Plumlee","orcid":"https://orcid.org/0000-0002-9348-3288"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Plumlee","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026731126","display_name":"Barry L. Nelson","orcid":"https://orcid.org/0000-0002-1325-2624"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Barry L. Nelson","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":7.5073,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.98532864,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2972","last_page":"2983"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9728000164031982,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.8109434247016907},{"id":"https://openalex.org/keywords/cutoff","display_name":"Cutoff","score":0.7307657599449158},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6418995261192322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5595991611480713},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.45595741271972656},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.434007465839386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3634483218193054},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3391740918159485},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3375988304615021}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.8109434247016907},{"id":"https://openalex.org/C2778217198","wikidata":"https://www.wikidata.org/wiki/Q556977","display_name":"Cutoff","level":2,"score":0.7307657599449158},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6418995261192322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5595991611480713},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.45595741271972656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.434007465839386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3634483218193054},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3391740918159485},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3375988304615021},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc48552.2020.9383921","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc48552.2020.9383921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W600148761","https://openalex.org/W625278252","https://openalex.org/W1492655370","https://openalex.org/W1965755064","https://openalex.org/W2002255430","https://openalex.org/W2006258746","https://openalex.org/W2013586103","https://openalex.org/W2017066805","https://openalex.org/W2066662317","https://openalex.org/W2085300404","https://openalex.org/W2135243999","https://openalex.org/W2151109590","https://openalex.org/W2296319761","https://openalex.org/W2484571116","https://openalex.org/W2795929191","https://openalex.org/W2911743703","https://openalex.org/W2913053495","https://openalex.org/W4233445212","https://openalex.org/W4250589301","https://openalex.org/W4255809996","https://openalex.org/W4255907263"],"related_works":["https://openalex.org/W4285208670","https://openalex.org/W3092388660","https://openalex.org/W1778838665","https://openalex.org/W2328322229","https://openalex.org/W3175879137","https://openalex.org/W3094919452","https://openalex.org/W2119262383","https://openalex.org/W4320056724","https://openalex.org/W2032312629","https://openalex.org/W1494981348"],"abstract_inverted_index":{"In":[0],"the":[1,18,59,63,73,89,94,98,102,124,133],"subset-selection":[2,38,118],"approach":[3,115],"to":[4,83,86],"ranking":[5],"and":[6,33,62,110,116,127],"selection,":[7],"a":[8,11,25,54,84],"decision-maker":[9],"seeks":[10],"subset":[12,128],"of":[13,65,100,135],"simulated":[14],"systems":[15],"that":[16,35,70],"contains":[17],"best":[19],"with":[20],"high":[21],"probability.":[22],"We":[23,96],"present":[24],"new,":[26],"generalized":[27],"framework":[28],"for":[29,51,68,107],"constructing":[30],"these":[31],"subsets":[32,46],"demonstrate":[34,122],"some":[36],"existing":[37],"procedures":[39],"are":[40,47,130],"situated":[41],"within":[42],"this":[43],"framework.":[44],"The":[45],"built":[48],"by":[49,132],"calculating,":[50],"each":[52,108],"system,":[53],"minimum":[55,77],"standardized":[56,78,136],"discrepancy":[57,79],"between":[58,113],"observed":[60],"performances":[61],"space":[64],"problem":[66,99],"instances":[67],"which":[69],"system":[71,90,109],"is":[72,80,91],"best.":[74],"A":[75],"system's":[76],"then":[81],"compared":[82],"cutoff":[85,106],"determine":[87],"whether":[88],"included":[92],"in":[93],"subset.":[95],"examine":[97],"finding":[101],"tightest":[103],"statistically":[104],"valid":[105],"draw":[111],"connections":[112],"our":[114],"other":[117],"methodologies.":[119],"Simulation":[120],"experiments":[121],"how":[123],"screening":[125],"power":[126],"size":[129],"affected":[131],"choice":[134],"discrepancy.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-12T07:12:00.856984","created_date":"2025-10-10T00:00:00"}
