{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T12:43:34Z","timestamp":1740141814860,"version":"3.37.3"},"reference-count":30,"publisher":"SAGE Publications","issue":"12","license":[{"start":{"date-parts":[[2013,12,1]],"date-time":"2013-12-01T00:00:00Z","timestamp":1385856000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"National Key Technology R&D Program of China","award":["2012BAD35B07","2013BAD15B02","13JJ3046"],"award-info":[{"award-number":["2012BAD35B07","2013BAD15B02","13JJ3046"]}]},{"name":"National Key Technology R&D Program of China","award":["2012BAD35B07","2013BAD15B02","13JJ3046"],"award-info":[{"award-number":["2012BAD35B07","2013BAD15B02","13JJ3046"]}]},{"DOI":"10.13039\/501100004735","name":"Hunan Provincial Natural Science Foundation","doi-asserted-by":"crossref","award":["2012BAD35B07","2013BAD15B02","13JJ3046"],"award-info":[{"award-number":["2012BAD35B07","2013BAD15B02","13JJ3046"]}],"id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Distributed Sensor Networks"],"published-print":{"date-parts":[[2013,12,1]]},"abstract":"<jats:p>Massive events can be produced today because of the rapid development of the Internet of Things (IoT). Complex event processing, which can be used to extract high-level patterns from raw data, has become an essential part of the IoT middleware. Prediction analytics is an important technology in supporting proactive complex event processing. In this paper, we propose the use of dynamic Bayesian model averaging to develop a high-accuracy prediction analytic method for large-scale IoT application. This method, which is based on a new multilayered adaptive dynamic Bayesian network model, uses Gaussian mixture models and expectation-maximization inference for basic Bayesian prediction. Bayesian model averaging is implemented by using Markov chain Monte Carlo approximation, and a novel dynamic Bayesian model averaging method is proposed based on event context clustering. Simulation experiments show that the proposed prediction analytic method has better accuracy compared to traditional methods. Moreover, the proposed method exhibits acceptable performance when implemented in large-scale IoT applications.<\/jats:p>","DOI":"10.1155\/2013\/723260","type":"journal-article","created":{"date-parts":[[2013,12,5]],"date-time":"2013-12-05T21:15:18Z","timestamp":1386278118000},"page":"723260","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":17,"title":["Predictive Analytics by Using Bayesian Model Averaging for Large-Scale Internet of Things"],"prefix":"10.1177","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3550-4167","authenticated-orcid":false,"given":"Xinghui","family":"Zhu","sequence":"first","affiliation":[{"name":"College of Information Science & Technology, Hunan Agricultural University, Changsha 410128, China"}]},{"given":"Fang","family":"Kui","sequence":"additional","affiliation":[{"name":"College of Information Science & Technology, Hunan Agricultural University, Changsha 410128, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7675-2327","authenticated-orcid":false,"given":"Yongheng","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Hunan University, Changsha 410082, China"}]}],"member":"179","published-online":{"date-parts":[[2013,12,5]]},"reference":[{"volume-title":"The Power of Events: An Introductionto Complex Event Processing in Distributed Enterprise Systems","year":"2002","author":"Luckham D. C.","key":"B1-2013-723260"},{"key":"B2-2013-723260","doi-asserted-by":"publisher","DOI":"10.1145\/2002259.2002279"},{"key":"B3-2013-723260","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2012.10.027"},{"issue":"3","key":"B4-2013-723260","first-page":"444","volume":"6","author":"Cho H. C.","year":"2008","journal-title":"International Journal of Control, Automation and Systems"},{"key":"B5-2013-723260","doi-asserted-by":"publisher","DOI":"10.1109\/SSP.2011.5967651"},{"key":"B6-2013-723260","doi-asserted-by":"publisher","DOI":"10.1016\/j.jeconom.2011.09.021"},{"first-page":"32","volume-title":"Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems (DEBS '12)","author":"Artikis A.","key":"B7-2013-723260"},{"volume-title":"Event Processing in Action","year":"2010","author":"Etzion O.","key":"B8-2013-723260"},{"key":"B9-2013-723260","doi-asserted-by":"publisher","DOI":"10.1109\/MASSP.1986.1165342"},{"first-page":"282","volume-title":"Proceedings of the 18th International Conference on Machine Learning (ICML '01)","author":"Lafferty J. D.","key":"B10-2013-723260"},{"key":"B11-2013-723260","doi-asserted-by":"publisher","DOI":"10.1109\/APWeb.2010.56"},{"first-page":"521","volume-title":"Proceedings of the 5th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing","author":"Kawashima H.","key":"B12-2013-723260"},{"key":"B13-2013-723260","doi-asserted-by":"publisher","DOI":"10.1007\/s00224-009-9236-0"},{"key":"B14-2013-723260","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2010.02.004"},{"key":"B15-2013-723260","doi-asserted-by":"publisher","DOI":"10.1109\/SERVICES.2010.15"},{"first-page":"107","volume-title":"Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems (DEBS '12)","author":"Engel Y.","key":"B16-2013-723260"},{"key":"B17-2013-723260","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2007.10.003"},{"key":"B18-2013-723260","doi-asserted-by":"publisher","DOI":"10.1109\/SSP.2011.5967651"},{"key":"B19-2013-723260","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2006.869623"},{"key":"B20-2013-723260","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2012.2200474"},{"key":"B21-2013-723260","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1991.3.1.79"},{"volume-title":"Proceedings of the IEEE Workshop on Statistical Signal Processing","author":"Zhou Y.","key":"B22-2013-723260"},{"key":"B23-2013-723260","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2010.5717307"},{"key":"B24-2013-723260","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2011.10.014"},{"first-page":"5253","volume-title":"Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '12)","author":"Tawara N.","key":"B25-2013-723260"},{"first-page":"5983","volume-title":"Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC '11)","author":"Samaranayake S.","key":"B26-2013-723260"},{"key":"B27-2013-723260","doi-asserted-by":"publisher","DOI":"10.1162\/089976603762553004"},{"key":"B28-2013-723260","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1111\/j.2517-6161.1994.tb01996.x","volume":"56","author":"Gelfand A.","year":"1994","journal-title":"Journal of the Royal Statistical Society B"},{"first-page":"63","volume-title":"Proceedings of the 3rd International Conference on Advances in System Simulation","author":"Behrisch M.","key":"B29-2013-723260"},{"key":"B30-2013-723260","doi-asserted-by":"publisher","DOI":"10.1109\/MPRV.2008.80"}],"container-title":["International Journal of Distributed Sensor Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1155\/2013\/723260","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/full-xml\/10.1155\/2013\/723260","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1155\/2013\/723260","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,21]],"date-time":"2024-05-21T00:53:14Z","timestamp":1716252794000},"score":1,"resource":{"primary":{"URL":"http:\/\/journals.sagepub.com\/doi\/10.1155\/2013\/723260"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,12,1]]},"references-count":30,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2013,12,1]]}},"alternative-id":["10.1155\/2013\/723260"],"URL":"https:\/\/doi.org\/10.1155\/2013\/723260","relation":{},"ISSN":["1550-1477","1550-1477"],"issn-type":[{"type":"print","value":"1550-1477"},{"type":"electronic","value":"1550-1477"}],"subject":[],"published":{"date-parts":[[2013,12,1]]}}}