{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T15:15:07Z","timestamp":1730214907540,"version":"3.28.0"},"reference-count":34,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,10]]},"DOI":"10.1109\/dsia.2017.8339088","type":"proceedings-article","created":{"date-parts":[[2018,4,19]],"date-time":"2018-04-19T20:15:28Z","timestamp":1524168928000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["A client-based visual analytics framework for large spatiotemporal data under architectural constraints"],"prefix":"10.1109","author":[{"given":"Guizhen","family":"Wang","sequence":"first","affiliation":[]},{"given":"Abish","family":"Malik","sequence":"additional","affiliation":[]},{"given":"Chittayong","family":"Surakitbanharn","sequence":"additional","affiliation":[]},{"given":"Jose Florencio","family":"de Queiroz Neto","sequence":"additional","affiliation":[]},{"given":"Shehzad","family":"Afzal","sequence":"additional","affiliation":[]},{"given":"Siqiao","family":"Chen","sequence":"additional","affiliation":[]},{"given":"David","family":"Wiszowaty","sequence":"additional","affiliation":[]},{"given":"David S.","family":"Ebert","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","article-title":"Out-of-core algorithms for scientific visualization and computer graphics","author":"silva","year":"2002","journal-title":"2002 IEEE Visualization '02 Course Notes"},{"journal-title":"Operating System Concepts","year":"2008","author":"silberschatz","key":"ref32"},{"key":"ref31","article-title":"Justice Assistance. Intelligence-led Policing: The New Intelligence Architecture","author":"peterson","year":"2005","journal-title":"Bureau of Justice Assistance"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2002.994706"},{"key":"ref34","first-page":"84","volume":"9","author":"wang","year":"2015","journal-title":"Spatial online sampling and aggregation"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2010.5447829"},{"key":"ref11","first-page":"10","article-title":"Mapreduce: Simplified data processing on large clusters","author":"dean","year":"2004","journal-title":"Proceedings of the 6th Conference on Symposium on Opearting Systems Design & Implementation - Volume 6 OSDI'04"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2882903.2915249"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1137\/1114019"},{"key":"ref14","first-page":"16:1","article-title":"Big data exploration requires collaboration between visualization and data infrastructures","author":"fisher","year":"2016","journal-title":"Proceedings of the Workshop on Human-In-the-Loop Data Analytics HILDA '16"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"1673","DOI":"10.1145\/2207676.2208294","article-title":"mc schraefel. Trust me, i'm partially right: incremental visualization lets analysts explore large datasets faster","author":"fisher","year":"2012","journal-title":"Proceedings of the SIGCHI conference on Human factors in computing systems"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/166117.166149"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009726021843"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/971697.602266"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/253262.253291"},{"key":"ref28","first-page":"9:1","article-title":"What users don't expect about exploratory data analysis on approximate query processing systems","author":"moritz","year":"2017","journal-title":"Proceedings of the 2Nd Workshop on Human-In-the-Loop Data Analytics HILDA'17"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2882903.2882919"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/VAST.2012.6400491"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2016.2598624"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/PVGS.2001.964403"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3025453.3025456"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2011.5767914"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1015706.1015802"},{"key":"ref7","first-page":"59","author":"chan","year":"2008","journal-title":"Maintaining interactivity while exploring massive time series"},{"year":"2017","key":"ref2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/VISUAL.1997.663888"},{"year":"2017","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2006.03.001"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2013.179"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1201\/9781420045703"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2014.6816750"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12129"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/THS.2010.5655057"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2014.6816649"}],"event":{"name":"2017 IEEE Workshop on Data Systems for Interactive Analysis (DSIA)","start":{"date-parts":[[2017,10,1]]},"location":"Phoenix, AZ, USA","end":{"date-parts":[[2017,10,2]]}},"container-title":["2017 IEEE Workshop on Data Systems for Interactive Analysis (DSIA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8334703\/8339083\/08339088.pdf?arnumber=8339088","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T07:37:48Z","timestamp":1643182668000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8339088\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/dsia.2017.8339088","relation":{},"subject":[],"published":{"date-parts":[[2017,10]]}}}