{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T11:16:06Z","timestamp":1730200566130,"version":"3.28.0"},"reference-count":36,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1109\/bigdata47090.2019.9006005","type":"proceedings-article","created":{"date-parts":[[2020,2,25]],"date-time":"2020-02-25T06:05:34Z","timestamp":1582610734000},"page":"2344-2353","source":"Crossref","is-referenced-by-count":3,"title":["Tackling the Neighboring Network Hit Problem in Cellular Data"],"prefix":"10.1109","author":[{"given":"Andres","family":"Leiva-Araos","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hector","family":"Allende-Cid","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Denis","family":"Khryashchev","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huy T.","family":"Vo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"article-title":"Prediction of urban human mobility using large-scale taxi traces and its applications","year":"0","author":"li","key":"ref33"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7908-1818-5_12"},{"key":"ref31","first-page":"63","article-title":"Exploring what not to clean in urban data: A study using new york city taxi trips","author":"chirigati","year":"2016","journal-title":"Data Engineering"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"1911","DOI":"10.1109\/BigData.2016.7840811","article-title":"Urban human mobility data mining: An overview","author":"zhao","year":"2016","journal-title":"Proceedings of the 2016 IEEE International Conference on Big Data (Big Data)"},{"key":"ref36","first-page":"995","article-title":"Incompatible: The gdpr in the age of big data","volume":"47","author":"zarsky","year":"2016","journal-title":"Seton Hall L Rev"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2873779"},{"article-title":"Informe ejecutivo, eod de viajes - santiago 2012","year":"2015","author":"hurtado","key":"ref34"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/s16071098"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MDM.2015.33"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCOM.1980.1094702"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2011.5876496"},{"key":"ref14","article-title":"Time patterns, geospatial clustering and mobility statistics based on mobile phone network data","author":"de jonge","year":"2012","journal-title":"Federal Committee on Statistical Methodology Research Conference"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/nphys1760"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020581"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2307636.2307659"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2013.6691626"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-26401-1_45"},{"key":"ref28","first-page":"175","article-title":"Quantifying urban attractiveness from the distribution and density of digital footprints","volume":"4","author":"girardin","year":"2009","journal-title":"International Journal"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2655691"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2030112.2030130"},{"article-title":"Definitive data and analysis for the mobile industry","year":"2019","author":"intelligence","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2013.6525604"},{"key":"ref29","article-title":"Robust land use characterization of urban landscapes using cell phone data","author":"soto","year":"2011","journal-title":"Proceedings of the 1st Workshop on Pervasive Urban Applications in conjunction with 9th Int Conf Pervasive Computing"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1140\/epjds\/s13688-015-0046-0"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"1018","DOI":"10.1126\/science.1177170","article-title":"Limits of predictability in human mobility","volume":"327","author":"song","year":"2010","journal-title":"Science"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"779","DOI":"10.1038\/nature06958","article-title":"Understanding individual human mobility patterns","volume":"453","author":"gonzalez","year":"2008","journal-title":"Nature"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/0191-2615(87)90006-3"},{"key":"ref9","first-page":"22","article-title":"The geography of taste: Analyzing cell-phone mobility and social events","volume":"10","author":"calabrese","year":"2010","journal-title":"Pervasive"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/poq\/nfl033"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1140\/epjds\/s13688-017-0119-3"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/MPRV.2007.53"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1007\/978-3-642-21726-5_9","article-title":"Identifying important places in people’s lives from cellular network data","author":"isaacman","year":"2011","journal-title":"International Conference on Pervasive Computing"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2008.05.014"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0610245104"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-79576-6_7"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1080\/10630731003597306"}],"event":{"name":"2019 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2019,12,9]]},"location":"Los Angeles, CA, USA","end":{"date-parts":[[2019,12,12]]}},"container-title":["2019 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8986695\/9005444\/09006005.pdf?arnumber=9006005","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:47:20Z","timestamp":1658094440000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9006005\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/bigdata47090.2019.9006005","relation":{},"subject":[],"published":{"date-parts":[[2019,12]]}}}