{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:47:20Z","timestamp":1775069240525,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,1,4]],"date-time":"2024-01-04T00:00:00Z","timestamp":1704326400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,1,4]]},"DOI":"10.1145\/3632410.3632438","type":"proceedings-article","created":{"date-parts":[[2024,1,3]],"date-time":"2024-01-03T18:15:16Z","timestamp":1704305716000},"page":"242-246","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Tabular Data Synthesis with GANs for Adaptive AI Models"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4986-0688","authenticated-orcid":false,"given":"Sandeep","family":"Hans","sequence":"first","affiliation":[{"name":"IBM Research, India, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4764-3583","authenticated-orcid":false,"given":"Anupam","family":"Sanghi","sequence":"additional","affiliation":[{"name":"IBM Research, India, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1583-5479","authenticated-orcid":false,"given":"Diptikalyan","family":"Saha","sequence":"additional","affiliation":[{"name":"IBM Research, India, India"}]}],"member":"320","published-online":{"date-parts":[[2024,1,4]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocy142"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1265530.1265569"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Haipeng Chen Sushil Jajodia Jing Liu Noseong Park Vadim Sokolov and VS Subrahmanian. 2019. FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data.. In IJCAI. 2074\u20132080.","DOI":"10.24963\/ijcai.2019\/287"},{"key":"e_1_3_2_1_5_1","unstructured":"Edward Choi Siddharth Biswal Bradley Malin Jon Duke Walter\u00a0F Stewart and Jimeng Sun. 2017. Generating multi-label discrete patient records using generative adversarial networks. In Machine learning for healthcare conference. PMLR 286\u2013305."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1561\/9781601985170"},{"key":"e_1_3_2_1_7_1","unstructured":"Dhimant Ganatara. [n. \u00a0d.]. Campus Recruitment Analysis. ([n. \u00a0d.]). https:\/\/www.kaggle.com\/datasets\/benroshan\/factors-affecting-campus-placement"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93040-4_21"},{"key":"e_1_3_2_1_9_1","unstructured":"Ian\u00a0J. Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron\u00a0C. Courville and Yoshua Bengio. 2014. Generative Adversarial Nets. In NIPS. 2672\u20132680."},{"key":"e_1_3_2_1_10_1","volume-title":"Auto-Encoding Variational Bayes. In ICLR","author":"P.","year":"2014","unstructured":"Diederik\u00a0P. Kingma and Max Welling. [n.\u00a0d.]. Auto-Encoding Variational Bayes. In ICLR 2014, Yoshua Bengio and Yann LeCun (Eds.). http:\/\/arxiv.org\/abs\/1312.6114"},{"key":"e_1_3_2_1_11_1","unstructured":"Ronny Kohavi and Barry Becker. [n.\u00a0d.]. Census Income Data. ([n.\u00a0d.]). https:\/\/archive.ics.uci.edu\/ml\/datasets\/adult"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.14778\/2733004.2733059"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3326467.3326474"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.14778\/1687627.1687738"},{"key":"e_1_3_2_1_15_1","volume-title":"Data synthesis based on generative adversarial networks. arXiv preprint arXiv:1806.03384","author":"Park Noseong","year":"2018","unstructured":"Noseong Park, Mahmoud Mohammadi, Kshitij Gorde, Sushil Jajodia, Hongkyu Park, and Youngmin Kim. 2018. Data synthesis based on generative adversarial networks. arXiv preprint arXiv:1806.03384 (2018)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.5555\/2870614.2870617"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2016.49"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3493700.3493704"},{"key":"e_1_3_2_1_19_1","volume-title":"REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers. arXiv preprint arXiv:2302.02041","author":"Solatorio V","year":"2023","unstructured":"Aivin\u00a0V Solatorio and Olivier Dupriez. 2023. REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers. arXiv preprint arXiv:2302.02041 (2023)."},{"key":"e_1_3_2_1_20_1","volume-title":"Approximate query processing using deep generative models. arXiv preprint arXiv:1903.10000","author":"Thirumuruganathan Saravanan","year":"2019","unstructured":"Saravanan Thirumuruganathan, Shohedul Hasan, Nick Koudas, and Gautam Das. 2019. Approximate query processing using deep generative models. arXiv preprint arXiv:1903.10000 (2019)."},{"key":"e_1_3_2_1_21_1","volume-title":"Modeling tabular data using conditional gan. Advances in neural information processing systems 32","author":"Xu Lei","year":"2019","unstructured":"Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, and Kalyan Veeramachaneni. 2019. Modeling tabular data using conditional gan. Advances in neural information processing systems 32 (2019)."},{"key":"e_1_3_2_1_22_1","volume-title":"Modeling tabular data using conditional gan. Advances in Neural Information Processing Systems 32","author":"Xu Lei","year":"2019","unstructured":"Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, and Kalyan Veeramachaneni. 2019. Modeling tabular data using conditional gan. Advances in Neural Information Processing Systems 32 (2019)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3134428"}],"event":{"name":"CODS-COMAD 2024: 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)","location":"Bangalore India","acronym":"CODS-COMAD 2024"},"container-title":["Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3632410.3632438","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3632410.3632438","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T13:35:11Z","timestamp":1755869711000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3632410.3632438"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,4]]},"references-count":23,"alternative-id":["10.1145\/3632410.3632438","10.1145\/3632410"],"URL":"https:\/\/doi.org\/10.1145\/3632410.3632438","relation":{},"subject":[],"published":{"date-parts":[[2024,1,4]]},"assertion":[{"value":"2024-01-04","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}