{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T16:51:00Z","timestamp":1770742260603,"version":"3.49.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,5,20]],"date-time":"2024-05-20T00:00:00Z","timestamp":1716163200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,20]],"date-time":"2024-05-20T00:00:00Z","timestamp":1716163200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001381","name":"National Research Foundation, Singapore","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001381","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,5,20]]},"DOI":"10.1109\/infocomwkshps61880.2024.10620828","type":"proceedings-article","created":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T17:19:39Z","timestamp":1723569579000},"page":"1-6","source":"Crossref","is-referenced-by-count":1,"title":["Network Traffic Prediction Using PSO-LightGBM- TM"],"prefix":"10.1109","author":[{"given":"Feng","family":"Li","sequence":"first","affiliation":[{"name":"School of Information and Electronic Engineering, Zhejiang Gongshang University,Hangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Nie","sequence":"additional","affiliation":[{"name":"School of Information and Electronic Engineering, Zhejiang Gongshang University,Hangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kwok-Yan","family":"Lam","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University,Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bowen","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University,Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiuhua","family":"Li","sequence":"additional","affiliation":[{"name":"School of Big Data & Software Engineering, Chongqing University,Chongqing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1","article-title":"Internet traffic matrices: A primer","volume":"1","author":"Tune","year":"2013","journal-title":"Recent Advances In Networking"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/11753810_10"},{"key":"ref3","article-title":"Do we really need deep learning models for time series forecasting?","author":"Elsayed","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/11751595_26"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.4236\/jilsa.2010.23018"},{"key":"ref6","article-title":"A long short-term memory recurrent neural network framework for network traffic matrix prediction","author":"Azzouni","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1002\/itl2.322"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOMWKSHPS50562.2020.9162765"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICITBS.2015.137"},{"key":"ref10","author":"Zhang","year":"2004","journal-title":"Abilene dataset"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1111322.1111341"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ISCC47284.2019.8969631"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref15","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","volume":"28","author":"Shi","year":"2015","journal-title":"Advances In Neural Information Processing Systems"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210006"},{"key":"ref17","article-title":"Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting","author":"Yu","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403118"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2779939"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICNC.2007.780"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"}],"event":{"name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","location":"Vancouver, BC, Canada","start":{"date-parts":[[2024,5,20]]},"end":{"date-parts":[[2024,5,20]]}},"container-title":["IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10620660\/10620661\/10620828.pdf?arnumber=10620828","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T05:14:28Z","timestamp":1723612468000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10620828\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,20]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/infocomwkshps61880.2024.10620828","relation":{},"subject":[],"published":{"date-parts":[[2024,5,20]]}}}