{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T19:22:49Z","timestamp":1773775369719,"version":"3.50.1"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,1,29]],"date-time":"2024-01-29T00:00:00Z","timestamp":1706486400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,29]],"date-time":"2024-01-29T00:00:00Z","timestamp":1706486400000},"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":[[2024,1,29]]},"DOI":"10.23919\/wons60642.2024.10449577","type":"proceedings-article","created":{"date-parts":[[2024,3,4]],"date-time":"2024-03-04T19:00:22Z","timestamp":1709578822000},"page":"113-120","source":"Crossref","is-referenced-by-count":2,"title":["A Machine Learning Approach to Forecast 5G Data in a Commercial and Operational 5G Platform*"],"prefix":"10.23919","author":[{"given":"Ana","family":"Almeida","sequence":"first","affiliation":[{"name":"Instituto de Telecomunica&#x00E7;es,Aveiro,Portugal,3810-193"}]},{"given":"Pedro","family":"Rito","sequence":"additional","affiliation":[{"name":"Instituto de Telecomunica&#x00E7;es,Aveiro,Portugal,3810-193"}]},{"given":"Susana","family":"Br\u00e1s","sequence":"additional","affiliation":[{"name":"Universidade de Aveiro,IEETA, DETI, LASI,Aveiro,Portugal,3810-193"}]},{"given":"Filipe Cabral","family":"Pinto","sequence":"additional","affiliation":[{"name":"Altice Labs,Aveiro,Portugal"}]},{"given":"Susana","family":"Sargento","sequence":"additional","affiliation":[{"name":"Instituto de Telecomunica&#x00E7;es,Aveiro,Portugal,3810-193"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2015.2461602"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2779844"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MITP.2017.9"},{"key":"ref4","volume-title":"5G-Market Snapshot November 2023 - GSA","year":"2023"},{"key":"ref5","volume-title":"technical Specification: 5G; 5G System; Network Data an-alytics Services; Stage","volume":"3","year":"2023"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CSCN.2017.8088595"},{"key":"ref7","first-page":"1","article-title":"Network slicing: a next generation 5g perspective","volume":"2021","author":"Subedi","year":"2021","journal-title":"EURASIP Journal on Wireless Communications and Networking 2021 2021:1"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2017.3481355"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2200679"},{"key":"ref10","volume-title":"5g network metrics for high traffic event","author":"K M","year":"2023"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.inffus.2020.01.005","article-title":"Overview and comparative study of dimensionality reduction techniques for high dimensional data","volume":"59","author":"Ayesha","year":"2020","journal-title":"Information Fusion"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3269693"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/wics.101"},{"key":"ref14","article-title":"Stochastic neighbor embedding","volume-title":"Advances in Neural Information Processing Systems","volume":"15","author":"Hinton","year":"2002"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3082576"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-023-00760-1"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2021.10.022"},{"key":"ref18","article-title":"M5 accuracy competition: Results, findings, and conclusions","author":"Makridakis","year":"2022","journal-title":"International Journal of Forecasting"},{"key":"ref19","article-title":"Lightgbm: A highly efficient gradient boosting decision tree","volume-title":"Advances in Neural Information Processing Systems","volume":"30","author":"Ke","year":"2017"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3056222"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.23919\/PEMWN47208.2019.8986920"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/BalkanCom58402.2023.10167924"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JCN.2020.000019"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.003.2200306"},{"key":"ref25","author":"Manias","year":"2022","journal-title":"A model drift detection and adaptation framework for 5g core networks"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IOTM.0001.2100012"}],"event":{"name":"2024 19th Wireless On-Demand Network Systems and Services Conference (WONS)","location":"Chamonix, France","start":{"date-parts":[[2024,1,29]]},"end":{"date-parts":[[2024,1,31]]}},"container-title":["2024 19th Wireless On-Demand Network Systems and Services Conference (WONS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10449489\/10449498\/10449577.pdf?arnumber=10449577","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,8]],"date-time":"2024-03-08T01:33:30Z","timestamp":1709861610000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10449577\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,29]]},"references-count":26,"URL":"https:\/\/doi.org\/10.23919\/wons60642.2024.10449577","relation":{},"subject":[],"published":{"date-parts":[[2024,1,29]]}}}