{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T11:29:25Z","timestamp":1762082965982,"version":"build-2065373602"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T00:00:00Z","timestamp":1671235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T00:00:00Z","timestamp":1671235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,17]]},"DOI":"10.1109\/bigdata55660.2022.10020487","type":"proceedings-article","created":{"date-parts":[[2023,1,26]],"date-time":"2023-01-26T19:35:23Z","timestamp":1674761723000},"page":"5944-5951","source":"Crossref","is-referenced-by-count":6,"title":["An AutoEncoder-based Numerical Training Data Augmentation Technique"],"prefix":"10.1109","author":[{"given":"Jueun","family":"Jeong","sequence":"first","affiliation":[{"name":"University of Seoul,Dept. Electrical and Computer Engineering,Seoul,South Korea"}]},{"given":"Hanseok","family":"Jeong","sequence":"additional","affiliation":[{"name":"University of Seoul,Dept. Electrical and Computer Engineering,Seoul,South Korea"}]},{"given":"Han-Joon","family":"Kim","sequence":"additional","affiliation":[{"name":"University of Seoul,Dept. Electrical and Computer Engineering,Seoul,South Korea"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1021\/ci0342472"},{"volume-title":"Data mining: Practical machine learning tools and techniques","year":"2011","author":"Witten","key":"ref2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-377-6.50032-3"},{"issue":"4","key":"ref4","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1023\/A:1016304305535","article-title":"Discretization: An enabling technique","volume":"6","author":"Liu","year":"2002","journal-title":"Data Mining and knowledge Discovery"},{"issue":"1","key":"ref5","first-page":"47","article-title":"Discretization techniques: A recent survey","volume":"32","author":"Kotsiantis","year":"2006","journal-title":"GESTS International Transactions on Computer Science and Engineering"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.5120\/944-1322"},{"volume-title":"Applied Unsupervised Learning with Python","year":"2019","author":"Johnston","key":"ref7"},{"article-title":"Graph-Based Hierarchical Conceptual Clustering in Structural Databases","volume-title":"Proceedings of AAAI","author":"Jonyer","key":"ref8"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.2307\/2346830"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1023\/A:1009769707641","article-title":"Extensions to the k-means Algorithm for Clustering Large Data Sets with Categorical Values","author":"Huang","year":"1998","journal-title":"Data Mining and Knowledge Discovery"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3233\/ida-1997-1302"},{"key":"ref12","first-page":"25","article-title":"Generative Oversampling for Mining Imbalanced Datasets","volume-title":"Proceedings of International Conference on Data Mining 2007","author":"Liu"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/11538059_91"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2008.2007853"},{"journal-title":"Generative Adversarial Networks","year":"2014","author":"Goodfellow","key":"ref15"},{"article-title":"Modeling Tabular using Conditional GAN","year":"2019","author":"Xu","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.5626\/JOK.2022.49.1.52"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/KST53302.2022.9729065"},{"journal-title":"Data augmentation using generative networks to identify dementia","year":"2020","author":"Mirheidari","key":"ref20"},{"article-title":"Auto-Encoding Variational Bayes","year":"2014","author":"Kingma","key":"ref21"},{"issue":"3","key":"ref22","first-page":"659","article-title":"Improving the classification accuracy using recursive feature elimination with cross-validation","volume":"11","author":"Misra","year":"2020","journal-title":"International Journal on Emerging Technologies"}],"event":{"name":"2022 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2022,12,17]]},"location":"Osaka, Japan","end":{"date-parts":[[2022,12,20]]}},"container-title":["2022 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10020192\/10020156\/10020487.pdf?arnumber=10020487","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T05:16:20Z","timestamp":1710393380000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10020487\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,17]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/bigdata55660.2022.10020487","relation":{},"subject":[],"published":{"date-parts":[[2022,12,17]]}}}