{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T14:10:11Z","timestamp":1755871811442,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":16,"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\/3632410.3632444","type":"proceedings-article","created":{"date-parts":[[2024,1,3]],"date-time":"2024-01-03T18:15:16Z","timestamp":1704305716000},"page":"217-221","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["HierTGAN: Hierarchical Time Series Generation with Aggregation Constraints"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-6486-7021","authenticated-orcid":false,"given":"Srini Rohan","family":"Gujulla Leel","sequence":"first","affiliation":[{"name":"IIT BHU, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3174-3811","authenticated-orcid":false,"given":"Vikrant","family":"Dey","sequence":"additional","affiliation":[{"name":"Mastercard, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4031-785X","authenticated-orcid":false,"given":"Puspita","family":"Majumdar","sequence":"additional","affiliation":[{"name":"Mastercard, India"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-1481-3395","authenticated-orcid":false,"given":"Ankit","family":"Khairkar","sequence":"additional","affiliation":[{"name":"Mastercard, India"}]}],"member":"320","published-online":{"date-parts":[[2024,1,4]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330976"},{"key":"e_1_3_2_2_2_1","unstructured":"Fred\u00a0B Bryant and Paul\u00a0R Yarnold. 1995. Principal-components analysis and exploratory and confirmatory factor analysis. (1995)."},{"key":"e_1_3_2_2_3_1","unstructured":"Crist\u00f3bal Esteban Stephanie\u00a0L. Hyland and Gunnar R\u00e4tsch. 2017. Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs. arxiv:1706.02633\u00a0[stat.ML]"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2022.07.010"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2011.03.006"},{"key":"e_1_3_2_2_6_1","unstructured":"Rob\u00a0J Hyndman and George Athanasopoulos. 2018. Forecasting: principles and practice. OTexts."},{"key":"e_1_3_2_2_7_1","volume-title":"International Conference on Learning Representations.","author":"Jeha Paul","year":"2021","unstructured":"Paul Jeha, Michael Bohlke-Schneider, Pedro Mercado, Shubham Kapoor, Rajbir\u00a0Singh Nirwan, Valentin Flunkert, Jan Gasthaus, and Tim Januschowski. 2021. PSA-GAN: Progressive self attention GANs for synthetic time series. In International Conference on Learning Representations."},{"volume-title":"Artificial Intelligence in Medicine, Martin Michalowski, Syed Sibte\u00a0Raza Abidi","author":"Li Xiaomin","key":"e_1_3_2_2_8_1","unstructured":"Xiaomin Li, Vangelis Metsis, Huangyingrui Wang, and Anne Hee\u00a0Hiong Ngu. 2022. TTS-GAN: A Transformer-Based Time-Series Generative Adversarial Network. In Artificial Intelligence in Medicine, Martin Michalowski, Syed Sibte\u00a0Raza Abidi, and Samina Abidi (Eds.). Springer International Publishing, 133\u2013143."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"crossref","unstructured":"Hao Ni Lukasz Szpruch Magnus Wiese Shujian Liao and Baoren Xiao. 2020. Conditional Sig-Wasserstein GANs for Time Series Generation. arxiv:2006.05421\u00a0[cs.LG]","DOI":"10.2139\/ssrn.3623086"},{"key":"e_1_3_2_2_10_1","volume-title":"Australia","author":"Australian\u00a0Bureau of Statistics. [n.","year":"2023","unstructured":"Australian\u00a0Bureau of Statistics. [n. d.]. Labour Force, Australia, May 2023.https:\/\/www.abs.gov.au\/statistics\/labour\/employment-and-unemployment\/labour-force-australia\/latest-release. Online; accessed 14 July 2023."},{"key":"e_1_3_2_2_11_1","first-page":"773","article-title":"Data Aggregation and Information Loss","volume":"58","author":"Orcutt H.","year":"1968","unstructured":"Guy\u00a0H. Orcutt, Harold\u00a0W. Watts, and John\u00a0B. Edwards. 1968. Data Aggregation and Information Loss. The American Economic Review 58, 4 (1968), 773\u2013787. http:\/\/www.jstor.org\/stable\/1815532","journal-title":"The American Economic Review"},{"key":"e_1_3_2_2_12_1","first-page":"32777","article-title":"Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)","volume":"35","author":"Seyfi Ali","year":"2022","unstructured":"Ali Seyfi, Jean-Francois Rajotte, and Raymond Ng. 2022. Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN). Advances in Neural Information Processing Systems 35 (2022), 32777\u201332788.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_2_13_1","volume-title":"Decision-aware conditional gans for time series data. arXiv preprint arXiv:2009.12682","author":"Sun He","year":"2020","unstructured":"He Sun, Zhun Deng, Hui Chen, and David\u00a0C Parkes. 2020. Decision-aware conditional gans for time series data. arXiv preprint arXiv:2009.12682 (2020)."},{"key":"e_1_3_2_2_14_1","volume-title":"Visualizing data using t-SNE.Journal of machine learning research 9, 11","author":"Maaten Laurens Van\u00a0der","year":"2008","unstructured":"Laurens Van\u00a0der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE.Journal of machine learning research 9, 11 (2008)."},{"volume-title":"Database Systems for Advanced Applications","author":"Wang Lu","key":"e_1_3_2_2_15_1","unstructured":"Lu Wang, Wei Zhang, and Xiaofeng He. 2019. Continuous Patient-Centric Sequence Generation via Sequentially Coupled Adversarial Learning. In Database Systems for Advanced Applications, Guoliang Li, Jun Yang, Joao Gama, Juggapong Natwichai, and Yongxin Tong (Eds.). Springer International Publishing, Cham, 36\u201352."},{"key":"e_1_3_2_2_16_1","volume-title":"Time-series generative adversarial networks. Advances in neural information processing systems 32","author":"Yoon Jinsung","year":"2019","unstructured":"Jinsung Yoon, Daniel Jarrett, and Mihaela Van\u00a0der Schaar. 2019. Time-series generative adversarial networks. Advances in neural information processing systems 32 (2019)."}],"event":{"name":"CODS-COMAD 2024: 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)","acronym":"CODS-COMAD 2024","location":"Bangalore India"},"container-title":["Proceedings of the 7th Joint International Conference on Data Science &amp; Management of Data (11th ACM IKDD CODS and 29th COMAD)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3632410.3632444","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3632410.3632444","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T13:37:12Z","timestamp":1755869832000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3632410.3632444"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,4]]},"references-count":16,"alternative-id":["10.1145\/3632410.3632444","10.1145\/3632410"],"URL":"https:\/\/doi.org\/10.1145\/3632410.3632444","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"}}]}}