{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T22:41:15Z","timestamp":1742942475809,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031624940"},{"type":"electronic","value":"9783031624957"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-62495-7_29","type":"book-chapter","created":{"date-parts":[[2024,6,21]],"date-time":"2024-06-21T20:19:24Z","timestamp":1719001164000},"page":"379-391","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Machine Learning Modeling in\u00a0Industrial Processes for\u00a0Visual Analysis"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2762-6949","authenticated-orcid":false,"given":"Antonio","family":"Mor\u00e1n","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3467-4938","authenticated-orcid":false,"given":"Seraf\u00edn","family":"Alonso","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9023-0341","authenticated-orcid":false,"given":"Juan J.","family":"Fuertes","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1563-1556","authenticated-orcid":false,"given":"Miguel A.","family":"Prada","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8724-5136","authenticated-orcid":false,"given":"Lidia","family":"Roca","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3921-1599","authenticated-orcid":false,"given":"Manuel","family":"Dom\u00ednguez","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,6,22]]},"reference":[{"key":"29_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1007\/978-3-642-24800-9_4","volume-title":"Advances in Intelligent Data Analysis X","author":"S Alonso","year":"2011","unstructured":"Alonso, S., Dom\u00ednguez, M., Prada, M.A., Sulkava, M., Hollm\u00e9n, J.: Comparative analysis of power consumption in university buildings using envSOM. In: Gama, J., Bradley, E., Hollm\u00e9n, J. (eds.) IDA 2011. LNCS, vol. 7014, pp. 10\u201321. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-24800-9_4"},{"doi-asserted-by":"crossref","unstructured":"Alonso, S., Sulkava, M., Prada, M.A., Dom\u00ednguez, M., Hollm\u00e9n, J.: EnvSOM: a SOM algorithm conditioned on the environment for clustering and visualization. In: WSOM 2011 8th International Workshop on Self-Organizing Maps, Espoo, Finland (2011)","key":"29_CR2","DOI":"10.1007\/978-3-642-21566-7_6"},{"doi-asserted-by":"publisher","unstructured":"Bertolini, M., Mezzogori, D., Neroni, M., Zammori, F.: Machine learning for industrial applications: a comprehensive literature review. Expert Syst. Appl. 175, 114820 (2021). https:\/\/doi.org\/10.1016\/j.eswa.2021.114820. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S095741742100261X","key":"29_CR3","DOI":"10.1016\/j.eswa.2021.114820"},{"unstructured":"Carreira-Perpi\u00f1\u00e1n, M.\u00c1.: A review of dimension reduction techniques. Technical Report. CS\u201396\u201309. Department of Computer Science, University of Sheffield (1996)","key":"29_CR4"},{"doi-asserted-by":"crossref","unstructured":"Cuadrado\u00a0Vega, A.A., D\u00edaz\u00a0Blanco, I., D\u00edez\u00a0Gonz\u00e1lez, A.B., Obeso\u00a0Carrera, F., Gonz\u00e1lez, J.A.: Visual data mining and monitoring in steel processes. In: Records of the Industry Applications Conference. 37th IAS Annual Meeting, vol.\u00a01, pp. 493\u2013500 (2002)","key":"29_CR5","DOI":"10.1109\/IAS.2002.1044131"},{"key":"29_CR6","doi-asserted-by":"publisher","first-page":"144395","DOI":"10.1109\/ACCESS.2021.3120517","volume":"9","author":"JJ Fuertes","year":"2021","unstructured":"Fuertes, J.J., Prada, M.A., Rodr\u00edguez-Ossorio, J.R., Gonz\u00e1lez-Herb\u00f3n, R., P\u00e9rez, D., Dom\u00ednguez, M.: Environment for education on Industry 4.0. IEEE Access 9, 144395\u2013144405 (2021). https:\/\/doi.org\/10.1109\/ACCESS.2021.3120517","journal-title":"IEEE Access"},{"doi-asserted-by":"publisher","unstructured":"Joswiak, M., Peng, Y., Castillo, I., Chiang, L.H.: Dimensionality reduction for visualizing industrial chemical process data. Control Eng. Pract. 93, 104189 (2019). https:\/\/doi.org\/10.1016\/j.conengprac.2019.104189. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0967066119301728","key":"29_CR7","DOI":"10.1016\/j.conengprac.2019.104189"},{"doi-asserted-by":"publisher","unstructured":"Keim, D.A., Sips, M., Ankerst, M.: Visual data-mining techniques. In: Visualization Handbook, pp. 831\u2013843. Butterworth-Heinemann, Burlington (2005). https:\/\/doi.org\/10.1016\/B978-012387582-2\/50045-9. https:\/\/www.sciencedirect.com\/science\/article\/pii\/B9780123875822500459","key":"29_CR8","DOI":"10.1016\/B978-012387582-2\/50045-9"},{"key":"29_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-56927-2","volume-title":"Self-Organizing Maps","author":"T Kohonen","year":"1995","unstructured":"Kohonen, T.: Self-Organizing Maps, 3rd edn. Springer, Heidelberg (1995). https:\/\/doi.org\/10.1007\/978-3-642-56927-2","edition":"3"},{"issue":"10","key":"29_CR10","doi-asserted-by":"publisher","first-page":"1358","DOI":"10.1109\/5.537105","volume":"84","author":"T Kohonen","year":"1996","unstructured":"Kohonen, T., Oja, E., Simula, O., Visa, A., Kangas, J.: Engineering applications of the self-organizing map. Proc. IEEE 84(10), 1358\u201384 (1996)","journal-title":"Proc. IEEE"},{"issue":"4","key":"29_CR11","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":"29_CR12","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1007\/978-3-319-65172-9_2","volume-title":"Engineering Applications of Neural Networks","author":"A Mor\u00e1n","year":"2017","unstructured":"Mor\u00e1n, A., Alonso, S., Prada, M.A., Fuertes, J.J., D\u00edaz, I., Dom\u00ednguez, M.: Analysis of parallel process in HVAC systems using deep autoencoders. In: Boracchi, G., Iliadis, L., Jayne, C., Likas, A. (eds.) EANN 2017. CCIS, vol. 744, pp. 15\u201326. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-65172-9_2"},{"doi-asserted-by":"publisher","unstructured":"Stefanovi\u010d, P., Kurasova, O.: Visual analysis of self-organizing maps. Nonlinear Anal. Model. Control 16(4), 488-504 (2011). https:\/\/doi.org\/10.15388\/NA.16.4.14091. https:\/\/www.journals.vu.lt\/nonlinear-analysis\/article\/view\/14091","key":"29_CR13","DOI":"10.15388\/NA.16.4.14091"},{"issue":"3","key":"29_CR14","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1016\/S0098-1354(02)00162-X","volume":"27","author":"V Venkatasubramanian","year":"2003","unstructured":"Venkatasubramanian, V., Rengaswamy, R., Kavuri, S., Yin, K.: A review of process fault detection and diagnosis part iii: process history based methods. Comput. Chem. Eng. 27(3), 327\u2013346 (2003)","journal-title":"Comput. Chem. Eng."},{"issue":"2","key":"29_CR15","doi-asserted-by":"publisher","first-page":"111","DOI":"10.3233\/IDA-1999-3203","volume":"3","author":"J Vesanto","year":"1999","unstructured":"Vesanto, J.: SOM-based data visualization methods. Intell. Data Anal. 3(2), 111\u2013126 (1999)","journal-title":"Intell. Data Anal."}],"container-title":["Communications in Computer and Information Science","Engineering Applications of Neural Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-62495-7_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,22]],"date-time":"2024-11-22T11:44:59Z","timestamp":1732275899000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-62495-7_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031624940","9783031624957"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-62495-7_29","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"22 June 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Engineering Applications of Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Corfu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 June 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 June 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eann2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eannconf.org\/2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}