{"id":"https://openalex.org/W3198451689","doi":"https://doi.org/10.14778/3476249.3476262","title":"Doing more with less","display_name":"Doing more with less","publication_year":2021,"publication_date":"2021-07-01","ids":{"openalex":"https://openalex.org/W3198451689","doi":"https://doi.org/10.14778/3476249.3476262","mag":"3198451689"},"language":"en","primary_location":{"id":"doi:10.14778/3476249.3476262","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3476249.3476262","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/1721.1/143854","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034140876","display_name":"Fatjon Zogaj","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Fatjon Zogaj","raw_affiliation_strings":["ETH Zurich, Z\u00fcrich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046282128","display_name":"Jos\u00e9 Cambronero","orcid":"https://orcid.org/0000-0002-0713-6141"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Pablo Cambronero","raw_affiliation_strings":["Massachusetts Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045127387","display_name":"Martin Rinard","orcid":"https://orcid.org/0000-0001-8095-8523"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martin C. Rinard","raw_affiliation_strings":["Massachusetts Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033732305","display_name":"J\u00fcrgen Cito","orcid":"https://orcid.org/0000-0001-8619-1271"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["AT","US"],"is_corresponding":false,"raw_author_name":"J\u00fcrgen Cito","raw_affiliation_strings":["TU Wien, Vienna, Austria and Massachusetts Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Wien, Vienna, Austria and Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I145847075","https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3993,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.85098075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"14","issue":"11","first_page":"2059","last_page":"2072"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9998999834060669,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9998999834060669,"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/T11975","display_name":"Evolutionary Algorithms and Applications","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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9940999746322632,"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/computer-science","display_name":"Computer science","score":0.7787224054336548},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.7461361289024353},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6608017683029175},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6353545784950256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.525864839553833},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5109723806381226},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3663831353187561},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08604535460472107},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08444568514823914}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7787224054336548},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.7461361289024353},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6608017683029175},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6353545784950256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.525864839553833},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5109723806381226},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3663831353187561},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08604535460472107},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08444568514823914},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.14778/3476249.3476262","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3476249.3476262","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/143854","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/143854","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"VLDB Endowment","raw_type":"http://purl.org/eprint/type/ConferencePaper"},{"id":"pmh:oai:www.research-collection.ethz.ch:20.500.11850/541761","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11850/541761","pdf_url":null,"source":{"id":"https://openalex.org/S4306402302","display_name":"Repository for Publications and Research Data (ETH Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I35440088","host_organization_name":"ETH Zurich","host_organization_lineage":["https://openalex.org/I35440088"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the VLDB Endowment, 14 (11)","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"doi:10.3929/ethz-b-000541761","is_oa":true,"landing_page_url":"https://doi.org/10.3929/ethz-b-000541761","pdf_url":null,"source":{"id":"https://openalex.org/S7407051236","display_name":"ETH Z\u00fcrich Research Collection","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/143854","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/143854","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"VLDB Endowment","raw_type":"http://purl.org/eprint/type/ConferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W60686164","https://openalex.org/W1486890033","https://openalex.org/W1576818901","https://openalex.org/W1680392829","https://openalex.org/W1869625623","https://openalex.org/W2007265575","https://openalex.org/W2037842665","https://openalex.org/W2051346631","https://openalex.org/W2090898720","https://openalex.org/W2097998348","https://openalex.org/W2104933073","https://openalex.org/W2113207845","https://openalex.org/W2113457868","https://openalex.org/W2132862423","https://openalex.org/W2161736907","https://openalex.org/W2182361439","https://openalex.org/W2295598076","https://openalex.org/W2309832917","https://openalex.org/W2432911982","https://openalex.org/W2535724050","https://openalex.org/W2618530766","https://openalex.org/W2756905860","https://openalex.org/W2757656223","https://openalex.org/W2886017866","https://openalex.org/W2886899115","https://openalex.org/W2891146651","https://openalex.org/W2899457449","https://openalex.org/W2904201207","https://openalex.org/W2912436245","https://openalex.org/W2945172243","https://openalex.org/W2948742859","https://openalex.org/W2950182411","https://openalex.org/W2950220059","https://openalex.org/W2953359974","https://openalex.org/W2953817258","https://openalex.org/W2954312269","https://openalex.org/W2955219525","https://openalex.org/W2970562710","https://openalex.org/W2970992672","https://openalex.org/W2971290973","https://openalex.org/W2979989546","https://openalex.org/W2997591727","https://openalex.org/W3006528928","https://openalex.org/W3011815100","https://openalex.org/W3080381655","https://openalex.org/W3081844508","https://openalex.org/W3098004101","https://openalex.org/W3100203766","https://openalex.org/W3102476541","https://openalex.org/W3102978735","https://openalex.org/W3104332093","https://openalex.org/W3105704032","https://openalex.org/W3123920941","https://openalex.org/W4394054096"],"related_works":["https://openalex.org/W4380433113","https://openalex.org/W4386072068","https://openalex.org/W252339960","https://openalex.org/W2390529043","https://openalex.org/W2378320433","https://openalex.org/W2358343511","https://openalex.org/W2051877971","https://openalex.org/W1970117064","https://openalex.org/W1787170397","https://openalex.org/W4292347844"],"abstract_inverted_index":{"Automated":[0],"machine":[1,7,12],"learning":[2,8,13],"(AutoML)":[3],"promises":[4],"to":[5,17,27,40,49,65],"democratize":[6],"by":[9,117],"automatically":[10],"generating":[11,50],"pipelines":[14,77,115],"with":[15,69],"little":[16],"no":[18],"user":[19],"intervention.":[20],"Typically,":[21],"a":[22,35,41,118],"search":[23,121],"procedure":[24,60],"is":[25],"used":[26],"repeatedly":[28],"generate":[29],"and":[30,78],"validate":[31],"candidate":[32,76],"pipelines,":[33],"maximizing":[34],"predictive":[36],"performance":[37],"metric,":[38],"subject":[39],"limited":[42],"execution":[43,85],"time":[44,86],"budget.":[45,87],"While":[46],"this":[47],"approach":[48],"candidates":[51],"works":[52],"well":[53],"for":[54,122],"small":[55],"tabular":[56,67,109],"datasets,":[57],"the":[58,83,96,102,107,114],"same":[59,84],"does":[61],"not":[62],"directly":[63],"scale":[64],"larger":[66],"datasets":[68],"100,000s":[70],"of":[71,95,104],"observations,":[72],"often":[73],"producing":[74],"fewer":[75],"yielding":[79],"lower":[80],"performance,":[81],"given":[82],"We":[88],"carry":[89],"out":[90],"an":[91],"extensive":[92],"empirical":[93],"evaluation":[94],"impact":[97],"that":[98],"downsampling":[99],"-":[100,111],"reducing":[101],"number":[103],"rows":[105],"in":[106],"input":[108],"dataset":[110],"has":[112],"on":[113],"produced":[116],"genetic-programming-based":[119],"AutoML":[120],"classification":[123],"tasks.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
