{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T10:02:51Z","timestamp":1648720971758},"reference-count":10,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. & Syst."],"published-print":{"date-parts":[[2018,12,1]]},"DOI":"10.1587\/transinf.2018edl8120","type":"journal-article","created":{"date-parts":[[2018,11,30]],"date-time":"2018-11-30T22:27:23Z","timestamp":1543616843000},"page":"3242-3245","source":"Crossref","is-referenced-by-count":0,"title":["A Multilevel Indexing Method for Approximate Geospatial Aggregation Analysis"],"prefix":"10.1587","volume":"E101.D","author":[{"given":"Luo","family":"CHEN","sequence":"first","affiliation":[{"name":"College of Electronic Science, National University of Defense Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ye","family":"WU","sequence":"additional","affiliation":[{"name":"College of Electronic Science, National University of Defense Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"XIONG","sequence":"additional","affiliation":[{"name":"College of Electronic Science, National University of Defense Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ning","family":"JING","sequence":"additional","affiliation":[{"name":"College of Electronic Science, National University of Defense Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] D. Papadias, P. Kalnis, J. Zhang, and Y. Tao, \u201cEfficient OLAP operations in spatial data warehouses,\u201d International Symposium on Spatial and Temporal Databases, vol.2121, pp.443-459, 2001. 10.1007\/3-540-47724-1_23","DOI":"10.1007\/3-540-47724-1_23"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] D. Zhang, V.J. Tsotras, and D. Gunopulos, \u201cEfficient aggregation over objects with extent,\u201d Acm Sigmod-sigact-sigart Symposium on Principles of Database Systems, pp.121-132, 2002. 10.1145\/543627.543629","DOI":"10.1145\/543627.543629"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] Y. Tao, D. Papadias, and J. Zhang, \u201cAggregate processing of planar points,\u201d International Conference on Extending Database Technology: Advances in Database Technology, vol.2287, pp.682-700, 2002. 10.1007\/3-540-45876-x_42","DOI":"10.1007\/3-540-45876-X_42"},{"key":"4","doi-asserted-by":"publisher","unstructured":"[4] J.M. Hellerstein, P.J. Haas, and H.J. Wang, \u201cOnline aggregation,\u201d Acm Sigmod Record, vol.26, no.2, pp.171-182, 1997. 10.1145\/253262.253291","DOI":"10.1145\/253262.253291"},{"key":"5","doi-asserted-by":"publisher","unstructured":"[5] C.M. Jermaine, S. Arumugam, A. Pol, and A. Dobra, \u201cScalable approximate query processing with the DBO engine,\u201d ACM Trans. Database Syst., vol.33, no.4, pp.1-54, 2008. 10.1145\/1412331.1412335","DOI":"10.1145\/1412331.1412335"},{"key":"6","unstructured":"[6] X. Han, J. Li, and G. Hong, \u201cPaa: An efficient approximate aggregation algorithm on massive data,\u201d Journal of Computer Research & Development, vol.51, no.1, pp.41-53, 2014."},{"key":"7","doi-asserted-by":"publisher","unstructured":"[7] I. Lazaridis and S. Mehrotra, \u201cProgressive approximate aggregate queries with a multi-resolution tree structure.,\u201d ACM SIGMOD Record, vol.30, no.2, pp.401-412, 2001. 10.1145\/376284.375718","DOI":"10.1145\/376284.375718"},{"key":"8","doi-asserted-by":"publisher","unstructured":"[8] L. Wang, R. Christensen, F. Li, and K. Yi, \u201cSpatial online sampling and aggregation,\u201d Proc. VLDB Endowment, vol.9, no.3, pp.84-95, 2015. 10.14778\/2850583.2850584","DOI":"10.14778\/2850583.2850584"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] J. Yu, J. Wu, and M. Sarwat, \u201cGeospark: A cluster computing framework for processing large-scale spatial data,\u201d Sigspatial International Conference on Advances in Geographic Information Systems, pp.1-4, 2015. 10.1145\/2820783.2820860","DOI":"10.1145\/2820783.2820860"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] D. Xie, F. Li, B. Yao, G. Li, L. Zhou, and M. Guo, \u201cSimba: Efficient in-memory spatial analytics,\u201d International Conference on Management of Data, pp.1071-1085, 2016. 10.1145\/2882903.2915237","DOI":"10.1145\/2882903.2915237"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E101.D\/12\/E101.D_2018EDL8120\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,12,1]],"date-time":"2018-12-01T04:23:54Z","timestamp":1543638234000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E101.D\/12\/E101.D_2018EDL8120\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,1]]},"references-count":10,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2018]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2018edl8120","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,12,1]]}}}