{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T08:54:50Z","timestamp":1725785690212},"reference-count":27,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1109\/icmla.2016.0091","type":"proceedings-article","created":{"date-parts":[[2017,2,7]],"date-time":"2017-02-07T15:39:53Z","timestamp":1486481993000},"page":"514-521","source":"Crossref","is-referenced-by-count":7,"title":["An Effective and Efficient Similarity-Matrix-Based Algorithm for Clustering Big Mobile Social Data"],"prefix":"10.1109","author":[{"given":"Gloria","family":"Bordogna","sequence":"first","affiliation":[]},{"given":"Luca","family":"Frigerio","sequence":"additional","affiliation":[]},{"given":"Alfredo","family":"Cuzzocrea","sequence":"additional","affiliation":[]},{"given":"Giuseppe","family":"Psaila","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-013-0216-6"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/363095.363139"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1023\/A:1025196714293"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-015-0452-x"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2740908.2745843"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2938503.2938517"},{"key":"ref16","first-page":"133","article-title":"GPU Programming Paradigm","author":"cedillo","year":"2009","journal-title":"Journal of Theoretical and Applied Information Technology"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/BigDataCongress.2016.78"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CCGrid.2012.150"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2013.10.026"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2014.84"},{"key":"ref27","first-page":"359","article-title":"Analytical synopses for Approximate Query Answering in OLAP Environments","author":"cuzzocrea","year":"2004","journal-title":"Proceedings of DEXA"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-05813-9_37"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/COMPSAC.2013.152"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2513591.2527071"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2015.7113348"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2492517.2492633"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2013.53"},{"key":"ref9","first-page":"750","article-title":"Spatialtemporal Characterization of Synchrophasor Measurement Systems-A Big Data Approach for Smart Grid System Situational Awareness","author":"jiang","year":"2014","journal-title":"Proc ACSS"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmcj.2011.12.003"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1281192.1281230"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2007.10.008"},{"journal-title":"Proceedings of ACM GIS","article-title":"A Model for Enriching Trajectories wth Semantic Geographical Information","year":"2007","author":"alvares","key":"ref21"},{"journal-title":"Proceedings of ACM KDD","article-title":"A Density-based Algorithm for Discovering Clusters in Large Spatial Databases with Noise","year":"1996","author":"ester","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1951365.1951398"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-19830-9_8"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972818.84"}],"event":{"name":"2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA)","start":{"date-parts":[[2016,12,18]]},"location":"Anaheim, CA, USA","end":{"date-parts":[[2016,12,20]]}},"container-title":["2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7835817\/7838104\/07838195.pdf?arnumber=7838195","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,12,13]],"date-time":"2017-12-13T15:34:45Z","timestamp":1513179285000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7838195\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/icmla.2016.0091","relation":{},"subject":[],"published":{"date-parts":[[2016,12]]}}}