{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T19:30:01Z","timestamp":1784403001009,"version":"3.55.0"},"publisher-location":"New York, New York, USA","reference-count":11,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Commissions in the EU H2020 IoTCrawler","award":["agreement no. 779852."],"award-info":[{"award-number":["agreement no. 779852."]}]},{"name":"European Commissions in the H2020 for FIESTA-IoT project","award":["grant agreement no. CNECT-ICT-643943"],"award-info":[{"award-number":["grant agreement no. CNECT-ICT-643943"]}]},{"name":"Spanish Ministry of Economy and Competitiveness (AEI\/FEDER UE)","award":["TIN2016-79484-R"],"award-info":[{"award-number":["TIN2016-79484-R"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1145\/3184558.3191649","type":"proceedings-article","created":{"date-parts":[[2018,4,18]],"date-time":"2018-04-18T18:04:25Z","timestamp":1524074665000},"page":"1841-1845","source":"Crossref","is-referenced-by-count":7,"title":["Spatio-Temporal Analysis for Smart City Data"],"prefix":"10.1145","author":[{"given":"Maria","family":"Bermudez-Edo","sequence":"first","affiliation":[{"name":"University of Granada, Granada, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Payam","family":"Barnaghi","sequence":"additional","affiliation":[{"name":"University of Surrey, Guildford, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","reference":[{"key":"key-10.1145\/3184558.3191649-1","doi-asserted-by":"crossref","unstructured":"Hussein Dia. 2001. An object-oriented neural network approach to short-term traffic forecasting. European Journal of Operational Research 131, 2 (2001), 253-- 261.","DOI":"10.1016\/S0377-2217(00)00125-9"},{"key":"key-10.1145\/3184558.3191649-2","unstructured":"efki Kolozali, Daniel Puschmann, Maria Bermudez-Edo, and Payam Barnaghi. 2016. On the Effect of Adaptive and Nonadaptive Analysis of Time-Series Sensory Data. IEEE Internet of Things Journal 3, 6 (2016), 1084--1098. https:\/\/doi.org\/10. 1109\/JIOT.2016.2553080"},{"key":"key-10.1145\/3184558.3191649-3","unstructured":"Daniel Kuemper, Ralf Toenjes, and Elke Pulvermueller. 2017. An infrastructurebased interpolation and propagation approach for IoT data analytics. In Innovations in Clouds, Internet and Networks (ICIN), 2017 20th Conference on. IEEE, 349--354."},{"key":"key-10.1145\/3184558.3191649-4","unstructured":"Kranti Kumar, M Parida, and VK Katiyar. 2013. Short term traffic flow prediction for a non urban highway using artificial neural network. Procedia-Social and Behavioral Sciences 104 (2013), 755--764. https:\/\/doi.org\/10.1016\/j.sbspro.2013.11. 170"},{"key":"key-10.1145\/3184558.3191649-5","doi-asserted-by":"crossref","unstructured":"Pedro Lopez-Garcia, Enrique Onieva, Eneko Osaba, Antonio D Masegosa, and Asier Perallos. 2016. A hybrid method for short-term traffic congestion forecasting using genetic algorithms and cross entropy. IEEE Transactions on Intelligent Transportation Systems 17, 2 (2016), 557--569.","DOI":"10.1109\/TITS.2015.2491365"},{"key":"key-10.1145\/3184558.3191649-6","unstructured":"Yisheng Lv, Yanjie Duan, Wenwen Kang, Zhengxi Li, and Fei-Yue Wang. 2015. Traffic flow prediction with big data: a deep learning approach. IEEE Transactions on Intelligent Transportation Systems 16, 2 (2015), 865--873. https:\/\/doi.org\/10. 1109\/TITS.2014.2345663"},{"key":"key-10.1145\/3184558.3191649-7","unstructured":"Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111--3119."},{"key":"key-10.1145\/3184558.3191649-8","doi-asserted-by":"crossref","unstructured":"Rodrigo Moraes, JoãO Francisco Valiati, and Wilson P GaviãO Neto. 2013. Document-level sentiment classification: An empirical comparison between SVM and ANN. Expert Systems with Applications 40, 2 (2013), 621--633.","DOI":"10.1016\/j.eswa.2012.07.059"},{"key":"key-10.1145\/3184558.3191649-9","doi-asserted-by":"crossref","unstructured":"Nicholas G Polson and Vadim O Sokolov. 2017. Deep learning for short-term traffic flow prediction. Transportation Research Part C: Emerging Technologies 79 (2017), 1--17.","DOI":"10.1016\/j.trc.2017.02.024"},{"key":"key-10.1145\/3184558.3191649-10","doi-asserted-by":"crossref","unstructured":"D. Puschmann, P. Barnaghi, and R. Tafazolli. 2017. Adaptive Clustering for Dynamic IoT Data Streams. IEEE Internet of Things Journal 4, 1 (Feb 2017), 64--74. https:\/\/doi.org\/10.1109\/JIOT.2016.2618909","DOI":"10.1109\/JIOT.2016.2618909"},{"key":"key-10.1145\/3184558.3191649-11","doi-asserted-by":"crossref","unstructured":"Yu Zheng, Licia Capra, Ouri Wolfson, and Hai Yang. 2014. Urban Computing: concepts, methodologies, and applications. ACM Transaction on Intelligent Systems and Technology (ACM TIST) (2014). https:\/\/doi.org\/10.1145\/2629592","DOI":"10.1145\/2629592"}],"event":{"name":"Companion of the The Web Conference 2018","location":"Lyon, France","acronym":"WWW '18","number":"2018","sponsor":["IW3C2, International World Wide Web Conference Committee","SIGWEB, ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"start":{"date-parts":[[2018,4,23]]},"end":{"date-parts":[[2018,4,27]]}},"container-title":["Companion of the The Web Conference 2018 on The Web Conference 2018  - WWW '18"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3184558.3191649","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3191649&ftid=1958419&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:39:26Z","timestamp":1750210766000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3184558.3191649"}},"subtitle":[],"proceedings-subject":"The Web Conference 2018","short-title":[],"issued":{"date-parts":[[2018]]},"references-count":11,"URL":"https:\/\/doi.org\/10.1145\/3184558.3191649","relation":{},"subject":[],"published":{"date-parts":[[2018]]}}}