{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:14:45Z","timestamp":1742912085097,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030617011"},{"type":"electronic","value":"9783030617028"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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\/978-3-030-61702-8_14","type":"book-chapter","created":{"date-parts":[[2020,10,18]],"date-time":"2020-10-18T23:02:31Z","timestamp":1603062151000},"page":"197-209","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Data-Driven Approach for Automatic Classification of Extreme Precipitation Events: Preliminary Results"],"prefix":"10.1007","author":[{"given":"J.","family":"Gonz\u00e1lez-Vergara","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D.","family":"Escobar-Gonz\u00e1lez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D.","family":"Chaglla-Aguagallo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D. H.","family":"Peluffo-Ord\u00f3\u00f1ez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,10,19]]},"reference":[{"issue":"9","key":"14_CR1","doi-asserted-by":"publisher","first-page":"1067","DOI":"10.1002\/joc.632","volume":"21","author":"K McGuffie","year":"2001","unstructured":"McGuffie, K., Henderson-Sellers, A.: Forty years of numerical climate modelling. Int. J. Climatol. J. R. Meteorol. Soc. 21(9), 1067\u20131109 (2001)","journal-title":"Int. J. Climatol. J. R. Meteorol. Soc."},{"issue":"7","key":"14_CR2","doi-asserted-by":"publisher","first-page":"3431","DOI":"10.1016\/j.jcp.2007.02.034","volume":"227","author":"P Lynch","year":"2008","unstructured":"Lynch, P.: The origins of computer weather prediction and climate modeling. J. Comput. Phys. 227(7), 3431\u20133444 (2008)","journal-title":"J. Comput. Phys."},{"issue":"7567","key":"14_CR3","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1038\/nature14956","volume":"525","author":"P Bauer","year":"2015","unstructured":"Bauer, P., Thorpe, A., Brunet, G.: The quiet revolution of numerical weather prediction. Nature 525(7567), 47\u201355 (2015)","journal-title":"Nature"},{"issue":"6245","key":"14_CR4","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1126\/science.aaa8415","volume":"349","author":"MI Jordan","year":"2015","unstructured":"Jordan, M.I., Mitchell, T.M.: Machine learning: trends, perspectives, and prospects. Science 349(6245), 255\u2013260 (2015)","journal-title":"Science"},{"key":"14_CR5","unstructured":"Ganguly, A.R., et al.: Data-driven solutions. Climate 2020: Degrees of Devastation, pp. 82\u201385 (2018)"},{"issue":"2","key":"14_CR6","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1007\/s00521-004-0413-4","volume":"13","author":"I Maqsood","year":"2004","unstructured":"Maqsood, I., Khan, M.R., Abraham, A.: An ensemble of neural networks for weather forecasting. Neural Comput. Appl. 13(2), 112\u2013122 (2004). \nhttps:\/\/doi.org\/10.1007\/s00521-004-0413-4","journal-title":"Neural Comput. Appl."},{"issue":"1","key":"14_CR7","doi-asserted-by":"crossref","first-page":"55","DOI":"10.7763\/IJCTE.2009.V1.9","volume":"1","author":"Y Radhika","year":"2009","unstructured":"Radhika, Y., Shashi, M.: Atmospheric temperature prediction using support vector machines. Int. J. Comput. Theor. Eng. 1(1), 55 (2009)","journal-title":"Int. J. Comput. Theor. Eng."},{"key":"14_CR8","unstructured":"Xingjian, S.H.I., Chen, Z., Wang, H., Yeung, D.Y., Wong, W.K., Woo, W.C.: Convolutional LSTM network: a machine learning approach for precipitation nowcasting. In: Advances in Neural Information Processing Systems, pp. 802\u2013810 (2015)"},{"key":"14_CR9","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.knosys.2019.05.009","volume":"179","author":"S Mehrkanoon","year":"2019","unstructured":"Mehrkanoon, S.: Deep shared representation learning for weather elements forecasting. Knowl.-Based Syst. 179, 120\u2013128 (2019)","journal-title":"Knowl.-Based Syst."},{"key":"14_CR10","doi-asserted-by":"crossref","unstructured":"McKinney, W.: Data structures for statistical computing in python. In: van der Walt, S., Millman, J. (eds.) Proceedings of the 9th Python in Science Conference, pp. 56\u201361 (2010)","DOI":"10.25080\/Majora-92bf1922-00a"},{"key":"14_CR11","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., et al.: Scikit-learn: Machine learning in Python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"14_CR12","unstructured":"Team, R.C.: R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria (2014)"},{"key":"14_CR13","unstructured":"EPMAPS-FONAG. Estaci\u00f3n Cient\u00edfica Agua y P\u00e1ramo. \nhttp:\/\/www.fonag.org.ec\/web\/estacion-cientifica-agua-y-paramos\/"},{"key":"14_CR14","unstructured":"EPMAPS. Empresa P\u00fablica Metropolitana de Agua Potable Y Saneamiento. \nhttps:\/\/www.aguaquito.gob.ec\/"},{"key":"14_CR15","unstructured":"Echavarria, M.: Financing watershed conservation: the Fonag water fund in Quito, Ecuador. In: Selling Forest Environmental Services, pp. 105\u2013115. Routledge (2012)"},{"key":"14_CR16","unstructured":"Peluffo Ordo\u00f1ez, D.H., Lee, J.A., Verleysen, M., Rodriguez, J.L., Castellanos-Dominguez, G.: Unsupervised relevance analysis for feature extraction and selection. a distance-based approach for feature relevance. In: 3rd International Conference on Pattern Recognition Applications and Methods (ICPRAM 2014) (2015)"},{"issue":"1\u20132","key":"14_CR17","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1023\/A:1025667309714","volume":"53","author":"M Robnik-\u0160ikonja","year":"2003","unstructured":"Robnik-\u0160ikonja, M., Kononenko, I.: Theoretical and empirical analysis of Relieff and RRelieff. Mach. Learn. 53(1\u20132), 23\u201369 (2003). \nhttps:\/\/doi.org\/10.1023\/A:1025667309714","journal-title":"Mach. Learn."},{"issue":"3","key":"14_CR18","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1007\/BF00994018","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20(3), 273\u2013297 (1995). \nhttps:\/\/doi.org\/10.1007\/BF00994018","journal-title":"Mach. Learn."},{"issue":"3","key":"14_CR19","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1007\/s10462-007-9052-3","volume":"26","author":"SB Kotsiantis","year":"2006","unstructured":"Kotsiantis, S.B., Zaharakis, I.D., Pintelas, P.E.: Machine learning: a review of classification and combining techniques. Artif. Intell. Rev. 26(3), 159\u2013190 (2006). \nhttps:\/\/doi.org\/10.1007\/s10462-007-9052-3","journal-title":"Artif. Intell. Rev."},{"key":"14_CR20","unstructured":"Hsu, C.W., Chang, C.C., Lin, C.J., et al.: A practical guide to support vector classification (2003)"},{"key":"14_CR21","first-page":"1143","volume":"5","author":"DR Chen","year":"2004","unstructured":"Chen, D.R., Wu, Q., Ying, Y., Zhou, D.X.: Support vector machine soft margin classifiers: error analysis. J. Mach. Learn. Res. 5, 1143\u20131175 (2004)","journal-title":"J. Mach. Learn. Res."},{"key":"14_CR22","unstructured":"Hofmann, M.: Support vector machines-kernels and the kernel trick. Notes 26(3), (2006)"}],"container-title":["Communications in Computer and Information Science","Applied Informatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-61702-8_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,18]],"date-time":"2020-10-18T23:11:07Z","timestamp":1603062667000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-61702-8_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030617011","9783030617028"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-61702-8_14","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"19 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Applied Informatics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ota","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nigeria","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icai22020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/icai.itiud.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"101","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"35","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"35% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}