{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T13:44:59Z","timestamp":1775051099728,"version":"3.50.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2018,12,1]],"date-time":"2018-12-01T00:00:00Z","timestamp":1543622400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61672399"],"award-info":[{"award-number":["61672399"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1609217"],"award-info":[{"award-number":["U1609217"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"China National Basic Research Program","award":["2015CB352400"],"award-info":[{"award-number":["2015CB352400"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Big Data"],"published-print":{"date-parts":[[2018,12,1]]},"DOI":"10.1109\/tbdata.2017.2723899","type":"journal-article","created":{"date-parts":[[2017,7,6]],"date-time":"2017-07-06T18:08:36Z","timestamp":1499364516000},"page":"571-585","source":"Crossref","is-referenced-by-count":41,"title":["pg-Causality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big Data"],"prefix":"10.1109","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1002-1174","authenticated-orcid":false,"given":"Julie Yixuan","family":"Zhu","sequence":"first","affiliation":[]},{"given":"Chao","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Huichu","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Shi","family":"Zhi","sequence":"additional","affiliation":[]},{"given":"Victor O.K.","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jiawei","family":"Han","sequence":"additional","affiliation":[]},{"given":"Yu","family":"Zheng","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-9399(2002)128:4(380)"},{"key":"ref38","first-page":"222","article-title":"The recovery of causal poly-trees from statistical data","author":"rebane","year":"1987","journal-title":"Pro Third Conf Uncertainty Artif Intell"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/60.3.613"},{"key":"ref32","article-title":"Dealing with uncertainty in Gaussian\n Bayesian networks from a regression perspective","author":"g\u00f3mez","year":"2010","journal-title":"Proc of Europ Work on Prob Graph Models"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1986.10478354"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/882085.882086"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1968.1054142"},{"key":"ref36","first-page":"1024","article-title":"The bayes net toolbox for MATLAB","volume":"33","author":"murphy","year":"2001","journal-title":"Comput Sci Statist"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-68996-6_1"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOMW.2015.7179453"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2629592"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994110"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2015.2465959"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2488188"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2788573"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783344"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623653"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1037\/h0037350"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.2307\/1912791"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/70.1.41"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.325.7374.1202"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2015.111"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2016.2587669"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557086"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783394"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOMW.2016.7562036"},{"key":"ref29","first-page":"215","article-title":"PrefixSpan: Mining sequential patterns by prefix-projected\n growth","author":"pel","year":"2001","journal-title":"Proc 17th IEEE Int Conf Data Engineering"},{"key":"ref5","first-page":"675","article-title":"Causality: Models, reasoning and inference","volume":"19","author":"pearl","year":"2003","journal-title":"Econometric Theory"},{"key":"ref8","first-page":"297","article-title":"Causal inference via sparse additive models with application to online advertising","author":"sun","year":"2015","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-2404-4_12"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.atmosenv.2006.08.044"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.atmosenv.2008.01.025"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.14778\/2732939.2732949"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.103.238701"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/1281192.1281203"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.physrep.2006.12.004"},{"key":"ref24","article-title":"Dynamic bayesian networks: Representation, inference and learning","volume":"7","author":"murphy","year":"2002","journal-title":"Probabilistic Graphical Models M Jordan"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.atmosres.2015.04.018"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994016"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1137\/S1052623498339727"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.108.258701"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2014.96"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939793"}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6687317\/8552529\/07970191.pdf?arnumber=7970191","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T15:18:40Z","timestamp":1643296720000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7970191\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,1]]},"references-count":43,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tbdata.2017.2723899","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"value":"2332-7790","type":"electronic"},{"value":"2372-2096","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,12,1]]}}}