{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T00:07:57Z","timestamp":1755907677398,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T00:00:00Z","timestamp":1695340800000},"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":[[2023,9,22]]},"DOI":"10.1145\/3627377.3627381","type":"proceedings-article","created":{"date-parts":[[2023,12,4]],"date-time":"2023-12-04T12:08:25Z","timestamp":1701691705000},"page":"22-27","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["A Predictive Study of ARIMA Model Based on Multi-Bayesian Estimation Method Fused Data on Building Materials Environment"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-6817-4740","authenticated-orcid":false,"given":"Yan","family":"Xu","sequence":"first","affiliation":[{"name":"School of Software & Internet of Things Engineering, Jiangxi University of Finance and Economics, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5462-240X","authenticated-orcid":false,"given":"Gaoyun","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Software & Internet of Things Engineering, Jiangxi University of Finance and Economics, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3681-8173","authenticated-orcid":false,"given":"Wei","family":"Song","sequence":"additional","affiliation":[{"name":"School of Information Management, Dalarna University, Sweden and \rSchool of Software & Internet of Things Engineering, Jiangxi University of Finance and Economics, China"}]}],"member":"320","published-online":{"date-parts":[[2023,12,4]]},"reference":[{"issue":"1","key":"e_1_3_2_1_1_1","first-page":"25","article-title":"Multi-Sensor measurement and data fusion[J]. IEEE Instru","volume":"2022","author":"Liu Z","year":"2022","unstructured":"Liu Z, Xiao G, Liu H. 2022. Multi-Sensor measurement and data fusion[J]. IEEE Instru. Meas. Mag. 2022(1): 25.","journal-title":"Meas. Mag."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trac.2021.116355"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2011.08.001"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.14016\/j.cnki.1001-9227.2016.02.118"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2013.09.002"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","unstructured":"Chou T Lo M. 2018. Predicting credit card defaults with deep learning and other machine learning models[J]. IJCTE. 2018(4). https\/\/doi.org\/10.7763\/IJCTE.V10.1208.","DOI":"10.7763\/IJCTE.V10.1208"},{"key":"e_1_3_2_1_7_1","unstructured":"DALE A I. 2003. Most honorable remembrance: the life and work of Thomas Bayes[M]. MeYork: Berlin-Heidelberg."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2012.2226446"},{"volume-title":"Probability theory and mathematical statistics[M]","author":"Li X","key":"e_1_3_2_1_9_1","unstructured":"Li X, Shen C, Chen Z. 2003. Probability theory and mathematical statistics[M]. Shanghai: Fudan University Press."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","unstructured":"Lei Y Zhou S Jerzy F Ye N. 2023. Multi-pass Bayesian estimation: a robust Bayesian method[J] Computation Stat. https\/\/doi.org\/10.1007\/s00180-023-01390-0.","DOI":"10.1007\/s00180-023-01390-0"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.3969\/j.issn.1004-1699.2014.05.014"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.23919\/JCC.2020.03.017"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","unstructured":"Domingos S De O Santos J\u00fanior Jo\u00e3o F L. 2019. An intelligent hybridization of ARIMA with machine learning models for time series forecasting[J] Knowl-Based Syst. https\/\/doi.org\/10.1016\/j.knosys.2019.03.011.","DOI":"10.1016\/j.knosys.2019.03.011"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.3969\/j.issn.1000-3894.2005.09.015"},{"issue":"15","key":"e_1_3_2_1_15_1","first-page":"2","article-title":"Comparative study of MSE and MAE in optimizing machine learning performance[J]","volume":"2018","author":"Wen J.","year":"2018","unstructured":"Wen J. 2018. Comparative study of MSE and MAE in optimizing machine learning performance[J]. Inf. Comput. 2018(15): 2. https\/\/doi.org\/cnki: sun: xxdl.0.2018-15-019. (In Chinese).","journal-title":"Inf. Comput."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.3390\/en16041684"}],"event":{"name":"ICBDT 2023: 2023 6th International Conference on Big Data Technologies","acronym":"ICBDT 2023","location":"Qingdao China"},"container-title":["Proceedings of the 2023 6th International Conference on Big Data Technologies"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627377.3627381","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3627377.3627381","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T16:19:18Z","timestamp":1755879558000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627377.3627381"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,22]]},"references-count":16,"alternative-id":["10.1145\/3627377.3627381","10.1145\/3627377"],"URL":"https:\/\/doi.org\/10.1145\/3627377.3627381","relation":{},"subject":[],"published":{"date-parts":[[2023,9,22]]},"assertion":[{"value":"2023-12-04","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}