{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T17:52:31Z","timestamp":1743097951529,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030034955"},{"type":"electronic","value":"9783030034962"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-030-03496-2_20","type":"book-chapter","created":{"date-parts":[[2018,11,8]],"date-time":"2018-11-08T12:58:05Z","timestamp":1541681885000},"page":"171-179","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction"],"prefix":"10.1007","author":[{"given":"David","family":"Guijo-Rubio","sequence":"first","affiliation":[]},{"given":"Antonio M.","family":"Dur\u00e1n-Rosal","sequence":"additional","affiliation":[]},{"given":"Antonio M.","family":"G\u00f3mez-Orellana","sequence":"additional","affiliation":[]},{"given":"Pedro A.","family":"Guti\u00e9rrez","sequence":"additional","affiliation":[]},{"given":"C\u00e9sar","family":"Herv\u00e1s-Mart\u00ednez","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,11,9]]},"reference":[{"key":"20_CR1","unstructured":"NCEP\/NCAR: The NCEP\/NCAR Reanalysis Project, NOAA\/ESRL Physical Sciences Division. https:\/\/www.esrl.noaa.gov\/psd\/data\/reanalysis\/reanalysis.shtml. Accessed 19 July 2018"},{"key":"20_CR2","unstructured":"NCEP\/NCAR: The NCEP\/NCAR Reanalysis Project Sea Surface Level Variables 6-hourly. https:\/\/www.esrl.noaa.gov\/psd\/data\/gridded\/data.ncep.reanalysis.surface.html. Accessed 19 July 2018"},{"key":"20_CR3","unstructured":"NOAA\/NDBC: National Oceanic and Atmospheric Administration (NOAA), National Data Buoy Center (NDBC). http:\/\/www.ndbc.noaa.gov. Accessed 19 July 2018"},{"issue":"7","key":"20_CR4","doi-asserted-by":"publisher","first-page":"536","DOI":"10.1016\/j.marstruc.2005.01.001","volume":"17","author":"J Agrawal","year":"2004","unstructured":"Agrawal, J., Deo, M.: Wave parameter estimation using neural networks. Mar. Struct. 17(7), 536\u2013550 (2004)","journal-title":"Mar. Struct."},{"key":"20_CR5","series-title":"Springer Series in Statistics (Perspectives in Statistics)","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1007\/978-1-4612-1694-0_15","volume-title":"Selected Papers of Hirotugu Akaike","author":"H Akaike","year":"1998","unstructured":"Akaike, H.: Information theory and an extension of the maximum likelihood principle. In: Parzen, E., Tanabe, K., Kitagawa, G. (eds.) Selected Papers of Hirotugu Akaike. Springer Series in Statistics (Perspectives in Statistics), pp. 199\u2013213. Springer, Heidelberg (1998). https:\/\/doi.org\/10.1007\/978-1-4612-1694-0_15"},{"key":"20_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-0004-3","volume-title":"Time Series: Theory and Methods","author":"PJ Brockwell","year":"2013","unstructured":"Brockwell, P.J., Davis, R.A.: Time Series: Theory and Methods. Springer, New York (2013). https:\/\/doi.org\/10.1007\/978-1-4899-0004-3"},{"key":"20_CR7","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1016\/j.engappai.2015.03.012","volume":"43","author":"JC Fern\u00e1ndez","year":"2015","unstructured":"Fern\u00e1ndez, J.C., Salcedo-Sanz, S., Guti\u00e9rrez, P.A., Alexandre, E., Herv\u00e1s-Mart\u00ednez, C.: Significant wave height and energy flux range forecast with machine learning classifiers. Eng. Appl. Artif. Intell. 43, 44\u201353 (2015)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"20_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1007\/978-3-319-19222-2_8","volume-title":"Advances in Computational Intelligence","author":"PA Guti\u00e9rrez","year":"2015","unstructured":"Guti\u00e9rrez, P.A., et al.: Energy flux range classification by using a dynamic window autoregressive model. In: Rojas, I., Joya, G., Catala, A. (eds.) IWANN 2015. LNCS, vol. 9095, pp. 92\u2013102. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-19222-2_8"},{"issue":"1","key":"20_CR9","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1109\/TKDE.2015.2457911","volume":"28","author":"PA Guti\u00e9rrez","year":"2016","unstructured":"Guti\u00e9rrez, P.A., P\u00e9rez-Ortiz, M., S\u00e1nchez-Monedero, J., Fernandez-Navarro, F., Herv\u00e1s-Mart\u00ednez, C.: Ordinal regression methods: survey and experimental study. IEEE Trans. Knowl. Data Eng. 28(1), 127\u2013146 (2016)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"20_CR10","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1016\/j.rser.2013.07.009","volume":"27","author":"I L\u00f3pez","year":"2013","unstructured":"L\u00f3pez, I., Andreu, J., Ceballos, S., de Alegr\u00eda, I.M., Kortabarria, I.: Review of wave energy technologies and the necessary power-equipment. Renew. Sustain. Energy Rev. 27, 413\u2013434 (2013)","journal-title":"Renew. Sustain. Energy Rev."},{"issue":"1","key":"20_CR11","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.apor.2008.03.002","volume":"30","author":"J Mahjoobi","year":"2008","unstructured":"Mahjoobi, J., Etemad-Shahidi, A., Kazeminezhad, M.: Hindcasting of wave parameters using different soft computing methods. Appl. Ocean Res. 30(1), 28\u201336 (2008)","journal-title":"Appl. Ocean Res."},{"issue":"6","key":"20_CR12","doi-asserted-by":"publisher","first-page":"803","DOI":"10.1080\/00221689409498691","volume":"32","author":"M Mathiesen","year":"1994","unstructured":"Mathiesen, M., et al.: Recommended practice for extreme wave analysis. J. Hydraul. Res. 32(6), 803\u2013814 (1994)","journal-title":"J. Hydraul. Res."},{"issue":"2","key":"20_CR13","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1214\/aos\/1176344136","volume":"6","author":"G Schwarz","year":"1978","unstructured":"Schwarz, G., et al.: Estimating the dimension of a model. Ann. Stat. 6(2), 461\u2013464 (1978)","journal-title":"Ann. Stat."}],"container-title":["Lecture Notes in Computer Science","Intelligent Data Engineering and Automated Learning \u2013 IDEAL 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-03496-2_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T15:13:15Z","timestamp":1709824395000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-03496-2_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030034955","9783030034962"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-03496-2_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"9 November 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IDEAL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Data Engineering and Automated Learning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Madrid","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":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 November 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 November 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ideal2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aida.ii.uam.es\/ideal2018\/#!\/main","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}