{"id":"https://openalex.org/W2391351762","doi":"https://doi.org/10.1109/ijcnn.2016.7727783","title":"Validation of matching","display_name":"Validation of matching","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2391351762","doi":"https://doi.org/10.1109/ijcnn.2016.7727783","mag":"2391351762"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1411.0023","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109889198","display_name":"Ya Le","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ya Le","raw_affiliation_strings":["Dept. of Statistics, Stanford University","Stanford University, Dept. of Statistics, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Statistics, Stanford University","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Stanford University, Dept. of Statistics, United States of America","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020075641","display_name":"Eric Bax","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric Bax","raw_affiliation_strings":["Dept. of Statistics, Stanford University","Yahoo!, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Statistics, Stanford University","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Yahoo!, USA#TAB#","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046224601","display_name":"Nicola Barbieri","orcid":"https://orcid.org/0000-0002-1993-2946"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicola Barbieri","raw_affiliation_strings":["Dept. of Statistics, Stanford University","Yahoo!, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Statistics, Stanford University","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Yahoo!, USA#TAB#","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010392760","display_name":"David Garc\u00eda-Soriano","orcid":"https://orcid.org/0000-0002-2869-9330"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Garcia Soriano","raw_affiliation_strings":["Dept. of Statistics, Stanford University","Yahoo!, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Statistics, Stanford University","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Yahoo!, USA#TAB#","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091780348","display_name":"Jitesh Mehta","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jitesh Mehta","raw_affiliation_strings":["Dept. of Statistics, Stanford University","Yahoo!, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Statistics, Stanford University","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Yahoo!, USA#TAB#","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101545642","display_name":"James Li","orcid":"https://orcid.org/0000-0003-0228-2868"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Li","raw_affiliation_strings":["Dept. of Statistics, Stanford University","Facebook, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Statistics, Stanford University","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Facebook, USA#TAB#","institution_ids":["https://openalex.org/I4210114444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":null,"first_page":"4457","last_page":"4464"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9941999912261963,"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"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9941999912261963,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9901999831199646,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/matching","display_name":"Matching (statistics)","score":0.7656034231185913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7163517475128174},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6611669659614563},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5787034630775452},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5733224153518677},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.54352867603302},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.48375630378723145},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44640517234802246},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4114410877227783},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4008176326751709},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22573816776275635},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18985092639923096},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08154168725013733}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7656034231185913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7163517475128174},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6611669659614563},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5787034630775452},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5733224153518677},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.54352867603302},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.48375630378723145},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44640517234802246},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4114410877227783},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4008176326751709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22573816776275635},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18985092639923096},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08154168725013733},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1411.0023","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1411.0023","pdf_url":"https://arxiv.org/pdf/1411.0023","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,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2391351762","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1411.0023","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,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1411.0023","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1411.0023","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,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1411.0023","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1411.0023","pdf_url":"https://arxiv.org/pdf/1411.0023","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,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W154910147","https://openalex.org/W568673721","https://openalex.org/W1560182867","https://openalex.org/W1847771814","https://openalex.org/W1976466396","https://openalex.org/W1996536854","https://openalex.org/W2039733986","https://openalex.org/W2084224084","https://openalex.org/W2102086994","https://openalex.org/W2103012681","https://openalex.org/W2129406249","https://openalex.org/W2147913014","https://openalex.org/W2148019918","https://openalex.org/W2148603752","https://openalex.org/W2163855617","https://openalex.org/W2164530213","https://openalex.org/W2170207925","https://openalex.org/W2274680574","https://openalex.org/W2317953821","https://openalex.org/W2949291209","https://openalex.org/W2949395086","https://openalex.org/W3103317839","https://openalex.org/W4233413206","https://openalex.org/W4245577611","https://openalex.org/W6606370203","https://openalex.org/W6638289159","https://openalex.org/W6684439776","https://openalex.org/W6684836731"],"related_works":["https://openalex.org/W2962935294","https://openalex.org/W3032304977","https://openalex.org/W2048202272","https://openalex.org/W2038585855","https://openalex.org/W1962239380","https://openalex.org/W2101528548","https://openalex.org/W2043035450","https://openalex.org/W1999933051","https://openalex.org/W2156543375","https://openalex.org/W2182453166","https://openalex.org/W2091481444","https://openalex.org/W2085022170","https://openalex.org/W2188600765","https://openalex.org/W1540857022","https://openalex.org/W1992112216","https://openalex.org/W2117350857","https://openalex.org/W3031338162","https://openalex.org/W2651730299","https://openalex.org/W2399625480","https://openalex.org/W2096598900"],"abstract_inverted_index":{"We":[0],"introduce":[1],"a":[2,55],"technique":[3],"to":[4,30,39,60],"compute":[5],"probably":[6],"approximately":[7],"correct":[8],"(PAC)":[9],"bounds":[10,19,35,68],"on":[11],"precision":[12],"and":[13],"recall":[14],"for":[15],"matching":[16],"algorithms.":[17,33],"The":[18,34],"require":[20,71],"some":[21],"verified":[22],"matches,":[23],"but":[24],"those":[25],"matches":[26],"may":[27],"be":[28,37],"used":[29],"develop":[31],"the":[32,61,67,74],"can":[36],"applied":[38],"network":[40,65,75],"reconciliation":[41],"or":[42,52],"entity":[43],"resolution":[44],"algorithms,":[45],"which":[46],"identify":[47],"nodes":[48],"in":[49,54],"different":[50],"networks":[51],"values":[53],"data":[56],"set":[57],"that":[58],"correspond":[59],"same":[62],"entity.":[63],"For":[64],"reconciliation,":[66],"do":[69],"not":[70],"knowledge":[72],"of":[73],"generation":[76],"process.":[77]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}