{"id":"https://openalex.org/W4312846665","doi":"https://doi.org/10.1109/tai.2022.3229289","title":"A Universal Metric for Robust Evaluation of Synthetic Tabular Data","display_name":"A Universal Metric for Robust Evaluation of Synthetic Tabular Data","publication_year":2022,"publication_date":"2022-12-14","ids":{"openalex":"https://openalex.org/W4312846665","doi":"https://doi.org/10.1109/tai.2022.3229289"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2022.3229289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2022.3229289","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"journal-article"},"type":"article","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/A5070836049","display_name":"Vikram S Chundawat","orcid":"https://orcid.org/0000-0002-2909-9222"},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Vikram S Chundawat","raw_affiliation_strings":["Birla Institute of Technology and Science (BITS) Pilani, Pilani, India"],"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology and Science (BITS) Pilani, Pilani, India","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025247914","display_name":"Ayush K Tarun","orcid":"https://orcid.org/0000-0003-1116-7597"},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ayush K Tarun","raw_affiliation_strings":["Birla Institute of Technology and Science (BITS) Pilani, Pilani, India"],"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology and Science (BITS) Pilani, Pilani, India","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090323460","display_name":"Murari Mandal","orcid":"https://orcid.org/0000-0002-0157-0967"},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Murari Mandal","raw_affiliation_strings":["School of Computer Engineering, Kalinga Institute of Industrial Technology (Deemed to be University), Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Kalinga Institute of Industrial Technology (Deemed to be University), Bhubaneswar, India","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051900553","display_name":"Mukund Lahoti","orcid":"https://orcid.org/0000-0002-3971-2705"},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mukund Lahoti","raw_affiliation_strings":["Birla Institute of Technology and Science (BITS) Pilani, Pilani, India"],"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology and Science (BITS) Pilani, Pilani, India","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089824017","display_name":"Pratik Narang","orcid":"https://orcid.org/0000-0003-1865-3512"},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pratik Narang","raw_affiliation_strings":["Birla Institute of Technology and Science (BITS) Pilani, Pilani, India"],"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology and Science (BITS) Pilani, Pilani, India","institution_ids":["https://openalex.org/I74796645"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5070836049"],"corresponding_institution_ids":["https://openalex.org/I74796645"],"apc_list":null,"apc_paid":null,"fwci":4.303,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.94937853,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"5","issue":"1","first_page":"300","last_page":"309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9793999791145325,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9793999791145325,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9735000133514404,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9668999910354614,"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/computer-science","display_name":"Computer science","score":0.7251020669937134},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7191798686981201},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.6642934083938599},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5172742009162903},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40046679973602295},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3498194217681885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7251020669937134},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7191798686981201},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.6642934083938599},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5172742009162903},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40046679973602295},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3498194217681885},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2022.3229289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2022.3229289","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W144784517","https://openalex.org/W157007071","https://openalex.org/W1530664329","https://openalex.org/W1788633279","https://openalex.org/W1995875735","https://openalex.org/W2061933243","https://openalex.org/W2064769840","https://openalex.org/W2103459159","https://openalex.org/W2104933073","https://openalex.org/W2113452810","https://openalex.org/W2132791018","https://openalex.org/W2174662229","https://openalex.org/W2565167788","https://openalex.org/W2622579191","https://openalex.org/W2739748921","https://openalex.org/W2744999500","https://openalex.org/W2751687090","https://openalex.org/W2806276686","https://openalex.org/W2884283597","https://openalex.org/W2889366067","https://openalex.org/W2902901670","https://openalex.org/W2904931021","https://openalex.org/W2928613965","https://openalex.org/W2963679759","https://openalex.org/W2990257819","https://openalex.org/W3022574011","https://openalex.org/W3045153201","https://openalex.org/W3123788974","https://openalex.org/W3198025769","https://openalex.org/W4294568686","https://openalex.org/W4295521014","https://openalex.org/W6621378261","https://openalex.org/W6640212811","https://openalex.org/W6640963894","https://openalex.org/W6685327068","https://openalex.org/W6715501732","https://openalex.org/W6735913928","https://openalex.org/W6735926176","https://openalex.org/W6741832134","https://openalex.org/W6753968393","https://openalex.org/W6756556786","https://openalex.org/W6765451912","https://openalex.org/W6785151444","https://openalex.org/W6790857497"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3209574120","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Synthetic":[0],"tabular":[1,46,95,207],"data":[2,8,28,47,57,96,124,127,208],"generation":[3,97],"becomes":[4],"crucial":[5],"when":[6],"real":[7,126],"are":[9,137],"limited,":[10],"expensive":[11],"to":[12,20,87,158],"collect,":[13],"or":[14],"simply":[15],"cannot":[16],"be":[17,156],"used":[18,68,157],"due":[19],"privacy":[21],"concerns.":[22],"However,":[23],"producing":[24],"good":[25],"quality":[26,53],"synthetic":[27,45,56,94,114,123,141,206],"is":[29,58,74],"challenging.":[30,60],"Several":[31],"probabilistic,":[32],"statistical,":[33],"generative":[34,194],"adversarial":[35],"networks":[36],"and":[37,80,148,160,204,215],"variational":[38],"autoencoder-based":[39],"approaches":[40],"have":[41,66],"been":[42,67],"presented":[43],"for":[44,109,139,184],"generation.":[48],"Once":[49],"generated,":[50],"evaluating":[51],"the":[52,55,63,70,90,110,120,134,162,188,213,221],"of":[54,62,76,92,113,122,164,187,217],"quite":[59],"Some":[61],"traditional":[64],"metrics":[65],"in":[69,171],"literature,":[71],"but":[72],"there":[73],"lack":[75],"a":[77,104,144,199],"common,":[78],"robust,":[79],"single":[81,145],"metric.":[82],"This":[83,168,211],"makes":[84],"it":[85],"difficult":[86],"properly":[88],"compare":[89],"effectiveness":[91,214],"different":[93,129],"methods.":[98],"In":[99],"this":[100],"article,":[101],"we":[102],"propose":[103],"new":[105],"universal":[106],"metric,":[107],"TabSynDex,":[108],"robust":[111],"evaluation":[112,190,209],"data.":[115,142],"The":[116],"proposed":[117,189],"metric":[118,147,191,219],"assesses":[119],"similarity":[121],"with":[125,192],"through":[128],"component":[130],"scores,":[131],"which":[132],"evaluate":[133,161],"characteristics":[135],"that":[136,174],"desirable":[138],"\u201chigh-quality\u201d":[140],"Being":[143],"score":[146],"having":[149],"an":[150],"implicit":[151],"bound,":[152],"TabSynDex":[153,203],"can":[154],"also":[155,197],"observe":[159],"training":[163],"neural":[165],"network-based":[166],"approaches.":[167],"would":[169],"help":[170],"obtaining":[172],"insights":[173],"was":[175],"not":[176],"possible":[177],"earlier.":[178],"We":[179,196],"present":[180],"several":[181],"baseline":[182],"models":[183],"comparative":[185,200],"analysis":[186,201],"existing":[193,205,222],"models.":[195],"give":[198],"between":[202],"metrics.":[210,223],"shows":[212],"universality":[216],"our":[218],"over":[220]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}