{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T11:17:30Z","timestamp":1730200650397,"version":"3.28.0"},"reference-count":20,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,10]]},"DOI":"10.1109\/bigdata.2015.7363982","type":"proceedings-article","created":{"date-parts":[[2015,12,28]],"date-time":"2015-12-28T16:36:21Z","timestamp":1451320581000},"page":"2010-2019","source":"Crossref","is-referenced-by-count":3,"title":["An optimized interestingness hotspot discovery framework for large gridded spatio-temporal datasets"],"prefix":"10.1109","author":[{"given":"Fatih","family":"Akdag","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christoph F.","family":"Eick","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-010-0355-3"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10707-012-0157-8"},{"key":"ref12","first-page":"405","article-title":"Clustering by means of medoids","author":"kaufman","year":"1987","journal-title":"Statistical Data Analysis Based on the L1 Norm and Related Methods"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1080\/03610929708831995"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2013.119"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/11811305_29"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2013.14"},{"journal-title":"Introduction to Algorithms","year":"2009","author":"cormen","key":"ref17"},{"article-title":"Spatial databases: a tour","year":"2003","author":"shekhar","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1962.10490022"},{"key":"ref4","first-page":"73","article-title":"Design and Evaluation of a Parallel Execution Framework for the CLEVER Clustering Algorithm","author":"chen","year":"2011","journal-title":"PARCO"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2505821.2505827"},{"journal-title":"Air Data Web Site","year":"0","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74553-2_21"},{"key":"ref8","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","volume":"96","author":"ester","year":"1996","journal-title":"KDD"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972733.5"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2006.01.013"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2676536.2676540"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014124"},{"key":"ref20","article-title":"Formulas for robust, one-pass parallel computation of covariances and arbitrary-order statistical moments","author":"pebay","year":"2008","journal-title":"Sandia National Laboratories Report Sand"}],"event":{"name":"2015 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2015,10,29]]},"location":"Santa Clara, CA, USA","end":{"date-parts":[[2015,11,1]]}},"container-title":["2015 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7347101\/7363706\/07363982.pdf?arnumber=7363982","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,3,24]],"date-time":"2017-03-24T16:18:48Z","timestamp":1490372328000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7363982\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,10]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2015.7363982","relation":{},"subject":[],"published":{"date-parts":[[2015,10]]}}}