{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T01:46:02Z","timestamp":1787017562568,"version":"build-2736575974"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T00:00:00Z","timestamp":1729468800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100019211","name":"Institute of Engineering Research, Seoul National University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100019211","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100014188","name":"Ministry of Science and ICT, South Korea","doi-asserted-by":"publisher","award":["2022R1A2C3007921,No.RS-2020-II200894,No.RS-2021-II212068,No.RS-2021-II211343"],"award-info":[{"award-number":["2022R1A2C3007921,No.RS-2020-II200894,No.RS-2021-II212068,No.RS-2021-II211343"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Institute of Computer Technology, Seoul National University"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,21]]},"DOI":"10.1145\/3627673.3679735","type":"proceedings-article","created":{"date-parts":[[2024,10,20]],"date-time":"2024-10-20T15:34:11Z","timestamp":1729438451000},"page":"962-972","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Fast and Accurate PARAFAC2 Decomposition for Time Range Queries on Irregular Tensors"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8328-3920","authenticated-orcid":false,"given":"Jun-Gi","family":"Jang","sequence":"first","affiliation":[{"name":"University of Illinois, Urbana-Champaign, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3489-9717","authenticated-orcid":false,"given":"Yong-chan","family":"Park","sequence":"additional","affiliation":[{"name":"Seoul National University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8774-6950","authenticated-orcid":false,"given":"U","family":"Kang","sequence":"additional","affiliation":[{"name":"Seoul National University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,10,21]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271775"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/S10994-021-06059--7"},{"key":"e_1_3_2_1_3_1","volume-title":"Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values. In CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event","author":"Ahn Dawon","year":"2021","unstructured":"Dawon Ahn, Seyun Kim, and U Kang. 2021. Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values. In CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021. ACM, 2822--2826."},{"key":"e_1_3_2_1_4_1","unstructured":"Brett W. Bader Tamara G. Kolda et al. 2017. MATLAB Tensor Toolbox Version 3.0-dev. Available online. https:\/\/www.tensortoolbox.org"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2018.8553077"},{"key":"e_1_3_2_1_6_1","volume-title":"Nonstationary temporal matrix factorization for multivariate time series forecasting. arXiv preprint arXiv:2203.10651","author":"Chen Xinyu","year":"2022","unstructured":"Xinyu Chen, Chengyuan Zhang, Xi-Le Zhao, Nicolas Saunier, and Lijun Sun. 2022. Nonstationary temporal matrix factorization for multivariate time series forecasting. arXiv preprint arXiv:2203.10651 (2022)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF44664.2019.9048813"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/1281192.1281211"},{"key":"e_1_3_2_1_9_1","volume-title":"Temporal link prediction using matrix and tensor factorizations. ACM Transactions on Knowledge Discovery from Data (TKDD)","author":"Dunlavy Daniel M","year":"2011","unstructured":"Daniel M Dunlavy, Tamara G Kolda, and Evrim Acar. 2011. Temporal link prediction using matrix and tensor factorizations. ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 5, 2 (2011), 1--27."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.1999.754948"},{"key":"e_1_3_2_1_11_1","volume-title":"Proceedings of the 12th IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining. 401--408","author":"Gujral Ekta","year":"2020","unstructured":"Ekta Gujral, Georgios Theocharous, and Evangelos E Papalexakis. 2020. C3APTION: constrainted coupled CP and PARAFAC2 tensor decomposition. In Proceedings of the 12th IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining. 401--408."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611976236.65"},{"key":"e_1_3_2_1_13_1","volume-title":"Papalexakis","author":"Gujral Ekta","year":"2020","unstructured":"Ekta Gujral, Georgios Theocharous, and Evangelos E. Papalexakis. 2020. SPADE: Streaming PARAFAC2 DEcomposition for Large Datasets. In Proceedings of the 2020 SIAM International Conference on Data Mining, SDM 2020, Cincinnati, Ohio, USA, May 7--9, 2020. SIAM, 577--585."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/253262.253274"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271682"},{"key":"e_1_3_2_1_16_1","volume-title":"Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range Queries. In KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","author":"Jang Jun-Gi","year":"2021","unstructured":"Jun-Gi Jang and U Kang. 2021. Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range Queries. In KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14--18, 2021. ACM, 725--735."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00229"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3568682"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData55660.2022.10020667"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599342"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1099-128X(199905\/08)13:3\/4<275::AID-CEM543>3.0.CO;2-B"},{"key":"e_1_3_2_1_22_1","volume-title":"Fast and Accurate Domain Adaptation for Irregular Tensor Decomposition. In KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, August 25--29","author":"Kim Junghun","year":"2024","unstructured":"Junghun Kim, Ka Hyun Park, Jun-Gi Jang, and U Kang. 2024. Fast and Accurate Domain Adaptation for Irregular Tensor Decomposition. In KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, August 25--29, 2024. ACM."},{"key":"e_1_3_2_1_23_1","volume-title":"Tensor decompositions for temporal knowledge base completion. arXiv preprint arXiv:2004.04926","author":"Lacroix Timoth\u00e9e","year":"2020","unstructured":"Timoth\u00e9e Lacroix, Guillaume Obozinski, and Nicolas Usunier. 2020. Tensor decompositions for temporal knowledge base completion. arXiv preprint arXiv:2004.04926 (2020)."},{"key":"e_1_3_2_1_24_1","volume-title":"Tok Wang Ling, and Hua-Gang Li","author":"Lee Sin Yeung","year":"2000","unstructured":"Sin Yeung Lee, Tok Wang Ling, and Hua-Gang Li. 2000. Hierarchical compact cube for range-max queries. In VLDB. 232--241."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.14778\/2733085.2733100"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2015.2457493"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-023X(00)00007-0"},{"key":"e_1_3_2_1_28_1","volume-title":"Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch. In Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018","author":"Malik Osman Asif","year":"2018","unstructured":"Osman Asif Malik and Stephen Becker. 2018. Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch. In Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3--8, 2018, Montr\u00e9al, Canada. 10117--10127."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339577"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i10.17101"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2019.103125"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098014"},{"key":"e_1_3_2_1_33_1","volume-title":"Robust Irregular Tensor Factorization and Completion for Temporal Health Data Analysis. In CIKM '20: The 29th ACM International Conference on Information and Knowledge Management","author":"Ren Yifei","year":"2020","unstructured":"Yifei Ren, Jian Lou, Li Xiong, and Joyce C. Ho. 2020. Robust Irregular Tensor Factorization and Completion for Temporal Health Data Analysis. In CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19--23, 2020. ACM, 1295--1304."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10094562"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2015.7363854"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939676"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3041659"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.14778\/1920841.1920907"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.126"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1002\/cem.689"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290998"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972801.19"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403213"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611976700.67"},{"key":"e_1_3_2_1_45_1","volume-title":"Temporal regularized matrix factorization for high-dimensional time series prediction. Advances in neural information processing systems","author":"Yu Hsiang-Fu","year":"2016","unstructured":"Hsiang-Fu Yu, Nikhil Rao, and Inderjit S Dhillon. 2016. Temporal regularized matrix factorization for high-dimensional time series prediction. Advances in neural information processing systems, Vol. 29 (2016)."}],"event":{"name":"CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management","location":"Boise ID USA","acronym":"CIKM '24","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 33rd ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627673.3679735","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3627673.3679735","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T20:58:27Z","timestamp":1750280307000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627673.3679735"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,21]]},"references-count":45,"alternative-id":["10.1145\/3627673.3679735","10.1145\/3627673"],"URL":"https:\/\/doi.org\/10.1145\/3627673.3679735","relation":{},"subject":[],"published":{"date-parts":[[2024,10,21]]},"assertion":[{"value":"2024-10-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}