{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,3]],"date-time":"2022-04-03T00:05:27Z","timestamp":1648944327479},"reference-count":13,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"7","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. & Syst."],"published-print":{"date-parts":[[2018,7,1]]},"DOI":"10.1587\/transinf.2018edl8017","type":"journal-article","created":{"date-parts":[[2018,6,30]],"date-time":"2018-06-30T22:29:03Z","timestamp":1530397743000},"page":"1959-1962","source":"Crossref","is-referenced-by-count":0,"title":["Fast Time-Aware Sparse Trajectories Prediction with Tensor Factorization"],"prefix":"10.1587","volume":"E101.D","author":[{"given":"Lei","family":"ZHANG","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, China University of Mining and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingfu","family":"FAN","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, China University of Mining and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guoxing","family":"ZHANG","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, China University of Mining and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhizheng","family":"LIANG","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, China University of Mining and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"publisher","unstructured":"[1] L. Zhang, Z. Hu, and G. Yang, \u201cTrajectory outlier detection based on multi-factors,\u201d IEICE Tans. Inf. & Syst., vol.E-97D, no.8, pp.2170-2173, Aug. 2014. 10.1587\/transinf.e97.d.2170","DOI":"10.1587\/transinf.E97.D.2170"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] S. Gambs, M.-O. Killijian, and M.N. del Prado Cortez, \u201cNext place prediction using mobility Markov chains,\u201d Proc. 2012 ACM Conf. First Workshop on Measurement, Privacy, and Mobility (MPM), pp.1-6, New York, USA, April 2012. 10.1145\/2181196.2181199","DOI":"10.1145\/2181196.2181199"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] W. Groves, E. Nunes, and M. Gini, \u201cA framework for predicting trajectories using global and local information,\u201d Proc. 11th ACM Conf. Computing Frontiers, no.37, Cagliari, Italy, May 2014. 10.1145\/2597917.2597934","DOI":"10.1145\/2597917.2597934"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] F. Giannotti, M. Nanni, F. Pinelli, and D. Pedreschi, \u201cTrajectory pattern mining,\u201d Proc. 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.330-339, San Jose, USA, Aug. 2007. 10.1145\/1281192.1281230","DOI":"10.1145\/1281192.1281230"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] A. Monreale, F. Pinelli, R. Trasarti, and F. Giannotti, \u201cWhereNext: A location predictor on trajectory pattern mining,\u201d Proc. 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.637-646, Paris, France, June 28-July 1, 2009. 10.1145\/1557019.1557091","DOI":"10.1145\/1557019.1557091"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] A.Y. Xue, R. Zhang, Y. Zheng, X. Xie, J. Huang, and Z. Xu, \u201cDestination prediction by sub-trajectory synthesis and privacy protection against such prediction,\u201d Proc. 2013 IEEE International Conf. Data Engineering (ICDE), pp.254-265, Brisbane, Australia, April 2013. 10.1109\/icde.2013.6544830","DOI":"10.1109\/ICDE.2013.6544830"},{"key":"7","doi-asserted-by":"publisher","unstructured":"[7] A.Y. Xue, J. Qi, X. Xie, R. Zhang, J. Huang, and Y. Li, \u201cSolving the data sparsity problem in destination prediction,\u201d J. VLDB, vol.24, no.2, pp.219-243, 2015. 10.1007\/s00778-014-0369-7","DOI":"10.1007\/s00778-014-0369-7"},{"key":"8","doi-asserted-by":"publisher","unstructured":"[8] Y. Zheng, \u201cTrajectory data mining: An overview,\u201d ACM Trans. Intelligent Systems and Technology, vol.6, no.3, Article No.29, pp.1-41, 2015. 10.1145\/2743025","DOI":"10.1145\/2743025"},{"key":"9","doi-asserted-by":"publisher","unstructured":"[9] L. Zhang, L.J. Liu, and W. Li, \u201cSparse trajectory prediction based on entropy estimation,\u201d IEICE Tans. Inf. & Syst., vol.E99-D, no.6, pp.1474-1481, June 2016. 10.1587\/transinf.2015cbp0001","DOI":"10.1587\/transinf.2015CBP0001"},{"key":"10","doi-asserted-by":"publisher","unstructured":"[10] L. Zhang, Q. Fan, W. Li, Z. Liang, G. Zhang, and T. Luo, \u201cEntropy-based sparse trajectories prediction enhanced by matrix,\u201d IEICE Tans. Inf. & Syst., vol.E100-D, no.9, pp.2215-2218, Sept. 2017. 10.1587\/transinf.2017edl8066","DOI":"10.1587\/transinf.2017EDL8066"},{"key":"11","unstructured":"[11] T-drive trajectory data sample, M. Research, Aug. 2011, available from http:\/\/research.microsoft.com\/apps\/pubs\/?id=152883."},{"key":"12","doi-asserted-by":"publisher","unstructured":"[12] L. Zhang, L. Liu, Z. Xia, W. Li, and Q. Fan, \u201cSparse trajectory prediction based on multiple entropy measures,\u201d J. Entropy, vol.18, no.9, 2016. 10.3390\/e18090327","DOI":"10.3390\/e18090327"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] I. Jeon, E.E. Papalexakis, U. Kang, and C. Faloutsos. \u201cHaTen2: Billion-scale tensor decompositions,\u201d Proc. 15th ICDE, pp.1047-1058, 2015. 10.1109\/icde.2015.7113355","DOI":"10.1109\/ICDE.2015.7113355"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E101.D\/7\/E101.D_2018EDL8017\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,7,7]],"date-time":"2018-07-07T05:15:40Z","timestamp":1530940540000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E101.D\/7\/E101.D_2018EDL8017\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,1]]},"references-count":13,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2018]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2018edl8017","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,7,1]]}}}