{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T17:50:34Z","timestamp":1764784234328,"version":"3.37.3"},"reference-count":32,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61821001"],"award-info":[{"award-number":["61821001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"YangFan Innovative and Entrepreneurial Research Team Project of Guangdong Province"},{"DOI":"10.13039\/501100002766","name":"Beijing University of Posts and Telecommunications","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002766","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2927239","type":"journal-article","created":{"date-parts":[[2019,7,12]],"date-time":"2019-07-12T16:10:09Z","timestamp":1562947809000},"page":"90863-90873","source":"Crossref","is-referenced-by-count":14,"title":["Multi-Dimensional Joint Prediction Model for IoT Sensor Data Search"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6387-503X","authenticated-orcid":false,"given":"Cong","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Yuanan","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1286-7141","authenticated-orcid":false,"given":"Fan","family":"Wu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5288-8708","authenticated-orcid":false,"given":"Wenhao","family":"Fan","sequence":"additional","affiliation":[]},{"given":"Jielong","family":"Tang","sequence":"additional","affiliation":[]},{"given":"Haosong","family":"Liu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"journal-title":"Chicago Park District weather&water Data","year":"2019","key":"ref32"},{"journal-title":"Intel Berkeley Research Lab Data","year":"2004","key":"ref31"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2004.837813"},{"key":"ref10","first-page":"1771","article-title":"A KNN based Kalman filter Gaussian process regression","author":"wang","year":"2013","journal-title":"Proc Intern Joint Conf Artificial Intel (IJCAI)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-014-5453-0"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2016.0182"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2016.2521735"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2013.6831475"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICSENS.2011.6127082"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IOT.2010.5678450"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IOT.2012.6402314"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2018.10.010"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2825538"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2015.7248381"},{"key":"ref27","first-page":"143","article-title":"Time series prediction using DirRec strategy","volume":"6","author":"sorjamaa","year":"2006","journal-title":"Proc ESANN"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.4304\/jnw.6.6.887-894"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2014.2349359"},{"journal-title":"Classification and Regression Trees","year":"1984","author":"breiman","key":"ref29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/DSDIS.2015.97"},{"key":"ref8","first-page":"155","article-title":"Support vector regression machines","author":"drucker","year":"1996","journal-title":"Proc NIPS"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.2307\/2284333"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CCCM.2009.5267755"},{"key":"ref9","first-page":"10","article-title":"Time series prediction with parallel evolutionary artificial neural networks","author":"davoian","year":"2007","journal-title":"Proc 7th IEEE Int Conf Data Mining (ICDM)"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2018.2825231"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICSESS.2017.8342870"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2712672"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/s18113610"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2800287"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2750669"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.01.039"},{"key":"ref25","first-page":"62","article-title":"Machine learning strategies for time series forecasting","author":"bontempi","year":"2012","journal-title":"Business Intelligence First European Summer School"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08756194.pdf?arnumber=8756194","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,10]],"date-time":"2021-08-10T19:40:06Z","timestamp":1628624406000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8756194\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2927239","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}