{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T05:21:03Z","timestamp":1743052863931,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030200541"},{"type":"electronic","value":"9783030200558"}],"license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-20055-8_9","type":"book-chapter","created":{"date-parts":[[2019,4,30]],"date-time":"2019-04-30T09:16:38Z","timestamp":1556615798000},"page":"91-100","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks"],"prefix":"10.1007","author":[{"given":"Antonio M.","family":"Fern\u00e1ndez","sequence":"first","affiliation":[]},{"given":"David","family":"Guti\u00e9rrez-Avil\u00e9s","sequence":"additional","affiliation":[]},{"given":"Alicia","family":"Troncoso","sequence":"additional","affiliation":[]},{"given":"Francisco","family":"Mart\u00ednez-\u00c1lvarez","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,5,1]]},"reference":[{"key":"9_CR1","doi-asserted-by":"crossref","unstructured":"Akg\u00fcn, B., \u00d6\u01e7\u00fcd\u00fcc\u00fc, S.G.: Streaming linear regression on Spark MLlib and MOA. In: Proceedings of the IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 1244\u20131247 (2015)","DOI":"10.1145\/2808797.2809374"},{"issue":"2","key":"9_CR2","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/s11036-013-0489-0","volume":"19","author":"M Chen","year":"2014","unstructured":"Chen, M., Mao, S., Liu, Y.: Big data: a survey. Mob. Netw. Appl. 19(2), 171\u2013209 (2014)","journal-title":"Mob. Netw. Appl."},{"key":"9_CR3","doi-asserted-by":"crossref","unstructured":"D\u2019Silva, G.M., Khan, A., Gaurav, Bari, S.: Real-time processing of IoT events with historic data using Apache Kafka and Apache Spark with dashing framework. In: Proceedings of the IEEE International Conference on Recent Trends in Electronics, Information Communication Technology, pp. 1804\u20131809 (2017)","DOI":"10.1109\/RTEICT.2017.8256910"},{"key":"9_CR4","doi-asserted-by":"publisher","first-page":"830","DOI":"10.1016\/j.knosys.2018.10.009","volume":"163","author":"A Galicia","year":"2019","unstructured":"Galicia, A., Talavera-Llames, R., Troncoso, A., Koprinska, I., Mart\u00ednez-\u00c1lvarez, F.: Multi-step forecasting for big data time series based on ensemble learning. Knowl. Based-Syst. 163, 830\u2013841 (2019)","journal-title":"Knowl. Based-Syst."},{"key":"9_CR5","first-page":"120","volume":"10870","author":"D Guti\u00e9rrez-Avil\u00e9s","year":"2018","unstructured":"Guti\u00e9rrez-Avil\u00e9s, D., F\u00e1bregas, J.A., Tejedor, J., Mart\u00ednez-\u00c1lvarez, F., Troncoso, A., Arcos, A., Riquelme, J.C.: SmartFD: a real big data application for electrical fraud detection. Lect. Notes Artif. Intell. 10870, 120\u2013130 (2018)","journal-title":"Lect. Notes Artif. Intell."},{"key":"9_CR6","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.neucom.2013.03.061","volume":"132","author":"D Guti\u00e9rrez-Avil\u00e9s","year":"2014","unstructured":"Guti\u00e9rrez-Avil\u00e9s, D., Rubio-Escudero, C., Mart\u00ednez-\u00c1lvarez, F., Riquelme, J.: Trigen: a genetic algorithm to mine triclusters in temporal gene expression data. Neurocomputing 132, 42\u201353 (2014)","journal-title":"Neurocomputing"},{"key":"9_CR7","doi-asserted-by":"publisher","first-page":"id15","DOI":"10.1186\/s13040-018-0177-5","volume":"11","author":"D Guti\u00e9rrez-Avil\u00e9s","year":"2018","unstructured":"Guti\u00e9rrez-Avil\u00e9s, D., Gir\u00e1ldez, R., Gil-Cumbreras, F.J., Rubio-Escudero, C.: TRIQ: a new method to evaluate triclusters. BioData Min. 11, id15 (2018)","journal-title":"BioData Min."},{"key":"9_CR8","volume-title":"Data Mining: Concepts and Techniques","author":"J Han","year":"2011","unstructured":"Han, J., Pei, J., Kamber, M.: Data Mining: Concepts and Techniques. Elsevier, Amsterdam (2011)"},{"issue":"24","key":"9_CR9","doi-asserted-by":"publisher","first-page":"6571","DOI":"10.1109\/TSP.2016.2612169","volume":"64","author":"T Hu","year":"2016","unstructured":"Hu, T., Wu, Q., Zhou, D.X.: Convergence of gradient descent for minimum error entropy principle in linear regression. IEEE Trans. Signal Process. 64(24), 6571\u20136579 (2016)","journal-title":"IEEE Trans. Signal Process."},{"key":"9_CR10","doi-asserted-by":"crossref","unstructured":"Ichinose, A., Takefusa, A., Nakada, H., Oguchi, M.: A study of a video analysis framework using Kafka and Spark Streaming. In: Proceedings of the IEEE International Conference on Big Data, pp. 2396\u20132401 (2017)","DOI":"10.1109\/BigData.2017.8258195"},{"key":"9_CR11","doi-asserted-by":"crossref","unstructured":"Karakaya, Z., Yazici, A., Alayyoub, M.: A comparison of stream processing frameworks. In: Proceedings of the International Conference on Computer and Applications, pp. 1\u201312 (2017)","DOI":"10.1109\/COMAPP.2017.8079733"},{"issue":"4","key":"9_CR12","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1007\/s12599-014-0334-4","volume":"6","author":"H Lasi","year":"2014","unstructured":"Lasi, H., Fettke, P., Kemper, H.G., Feld, T., Hoffmann, M.: Industry 4.0. Bus. Inf. Syst. Eng. 6(4), 239\u2013242 (2014)","journal-title":"Bus. Inf. Syst. Eng."},{"key":"9_CR13","doi-asserted-by":"crossref","unstructured":"Lauridsen, M., Nguyen, H., Vejlgaard, B., Kovacs, I.Z., Mogensen, P., Sorensen, M.: Coverage Comparison of GPRS, NB-IoT, LoRa, and SigFox in a 7800 km\n                    \n                      \n                    \n                    $$^{2}$$\n                    \n                      \n                        \n                          \n                          2\n                        \n                      \n                    \n                   Area. In: Proceedings of the IEEE Vehicular Technology Conference, pp. 1\u20135 (2017)","DOI":"10.1109\/VTCSpring.2017.8108182"},{"key":"9_CR14","volume-title":"Big Data: Principles and Best Practices of Scalable Real-time Data Systems","author":"N Marz","year":"2015","unstructured":"Marz, N., Warren, J.: Big Data: Principles and Best Practices of Scalable Real-time Data Systems. Manning Publications Co., Shelter Island (2015)"},{"key":"9_CR15","unstructured":"Noac\u2019h, P.L., Costan, A., Boug\u00e9, L.: A performance evaluation of Apache Kafka in support of big data streaming applications. In: Proceedings of the IEEE International Conference on Big Data, pp. 4803\u20134806 (2017)"},{"key":"9_CR16","doi-asserted-by":"crossref","unstructured":"Pallaprolu, S.C., Sankineni, R., Thevar, M., Karabatis, G., Wang, J.: Zero-day attack identification in streaming data using semantics and Spark. In: Proceedings of the IEEE International Congress on Big Data, pp. 121\u2013128 (2017)","DOI":"10.1109\/BigDataCongress.2017.25"},{"key":"9_CR17","doi-asserted-by":"crossref","unstructured":"Rahman, A., Suryanegara, M.: The development of IoT LoRa: a performance evaluation on LoS and Non-LoS environment at 915 MHz ISM frequency. In: Proceedings of the International Conference on Signals and Systems, pp. 163\u2013167 (2017)","DOI":"10.1109\/ICSIGSYS.2017.7967033"},{"issue":"12","key":"9_CR18","doi-asserted-by":"publisher","first-page":"3340","DOI":"10.1109\/TIM.2017.2746378","volume":"66","author":"M Rizzi","year":"2017","unstructured":"Rizzi, M., Ferrari, P., Flammini, A., Sisinni, E.: Evaluation of the IoT LoRaWAN solution for distributed measurement applications. IEEE Trans. Instrum. Meas. 66(12), 3340\u20133349 (2017)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"9_CR19","doi-asserted-by":"crossref","unstructured":"Shvachko, K., Kuang, H., Radia, S., Chansler, R.: The Hadoop distributed file system. In: Proceedings of the IEEE Symposium on Mass Storage Systems and Technologies, pp. 1\u201310 (2010)","DOI":"10.1109\/MSST.2010.5496972"},{"issue":"4","key":"9_CR20","doi-asserted-by":"publisher","first-page":"335","DOI":"10.3233\/ICA-180580","volume":"25","author":"JF Torres","year":"2018","unstructured":"Torres, J.F., Galicia, A., Troncoso, A., Mart\u00ednez-\u00c1lvarez, F.: A scalable approach based on deep learning for big data time series forecasting. Integr. Comput.-Aided Eng. 25(4), 335\u2013348 (2018)","journal-title":"Integr. Comput.-Aided Eng."},{"issue":"3","key":"9_CR21","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1007\/s12599-015-0383-3","volume":"57","author":"F Wortmann","year":"2015","unstructured":"Wortmann, F., Fl\u00fcchter, K.: Internet of things. Bus. Inf. Syst. Eng. 57(3), 221\u2013224 (2015)","journal-title":"Bus. Inf. Syst. Eng."}],"container-title":["Advances in Intelligent Systems and Computing","14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019)"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-20055-8_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,18]],"date-time":"2019-05-18T04:11:08Z","timestamp":1558152668000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-20055-8_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,1]]},"ISBN":["9783030200541","9783030200558"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-20055-8_9","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2019,5,1]]},"assertion":[{"value":"1 May 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SOCO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Soft Computing Models in Industrial and Environmental Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Seville","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 May 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 May 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"socomoin2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2019.sococonference.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}