{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T14:17:40Z","timestamp":1730297860172,"version":"3.28.0"},"reference-count":20,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,10]]},"DOI":"10.1109\/smc.2017.8122730","type":"proceedings-article","created":{"date-parts":[[2017,11,30]],"date-time":"2017-11-30T22:22:47Z","timestamp":1512080567000},"page":"936-941","source":"Crossref","is-referenced-by-count":0,"title":["Predicting the number of driving service orders in fine-grained regions by an ensemble multi-view-based model"],"prefix":"10.1109","author":[{"given":"Pei","family":"Luo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Xin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kuai","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ping","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zichao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143865"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390169"},{"key":"ref12","first-page":"199","article-title":"Time series analysis: Forecasting and control","volume":"68","author":"box","year":"2016","journal-title":"Journal of the Operational Research Society"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-29854-2"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/nbt1004-1315"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-43162-8_5"},{"key":"ref16","first-page":"697","article-title":"Streaming pattern discovery in multiple time-series","author":"papadimitriou","year":"2005","journal-title":"International Conference on Very Large Data Bases"},{"key":"ref17","first-page":"1287","volume":"104","author":"khan","year":"2012","journal-title":"Workload Characterization and Prediction in the Cloud A Multiple Time Series Approach"},{"journal-title":"Multiple time-series forecasting on mobile network data using an rnn-rbm model","year":"2017","author":"brnhielm","key":"ref18"},{"key":"ref19","article-title":"Short-term traffic parameter prediction based on spatio-temporal correlation and bp_adaboost","author":"ding","year":"2016","journal-title":"J Highway Transportation Res Develop"},{"key":"ref4","first-page":"282","volume":"3","author":"lafferty","year":"2002","journal-title":"Conditional Random Fields Probabilistic Models for Segmenting and Labeling Sequence Data"},{"journal-title":"Deep spatiotemporal residual networks for citywide crowd flows prediction","year":"2017","author":"zhang","key":"ref3"},{"journal-title":"Long short term memory networks for anomaly detection in time series","year":"2015","author":"malhotra","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007469218079"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10651-016-0353-z"},{"key":"ref7","first-page":"1917","article-title":"Forecasting collector road speeds under high percentage of missing data","author":"xin","year":"2015","journal-title":"Twenty-Ninth AAAI Conference on Artificial Intelligence"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/WI-IAT.2014.98"},{"key":"ref1","first-page":"3408","article-title":"The application of space-time arima model on traffic flow forecasting","author":"lin","year":"2009","journal-title":"International Conference on Machine Learning and Cybernetics"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/0364-0213(90)90002-E"},{"key":"ref20","article-title":"Spatio-temporal prediction and analysis of pm_(2.5) based on spa-tiotemploral kriging","author":"mei","year":"2016","journal-title":"Environmental Science & Technology"}],"event":{"name":"2017 IEEE International Conference on Systems, Man and Cybernetics (SMC)","start":{"date-parts":[[2017,10,5]]},"location":"Banff, AB","end":{"date-parts":[[2017,10,8]]}},"container-title":["2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8114675\/8122565\/08122730.pdf?arnumber=8122730","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,1,17]],"date-time":"2018-01-17T23:15:34Z","timestamp":1516230934000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8122730\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/smc.2017.8122730","relation":{},"subject":[],"published":{"date-parts":[[2017,10]]}}}