{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T10:24:06Z","timestamp":1743071046250,"version":"3.40.3"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031651533"},{"type":"electronic","value":"9783031651540"}],"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\/978-3-031-65154-0_24","type":"book-chapter","created":{"date-parts":[[2024,7,29]],"date-time":"2024-07-29T16:12:08Z","timestamp":1722269528000},"page":"393-411","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Regression Models in\u00a0Lubricant Oil Quality Assessment"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1740-8371","authenticated-orcid":false,"given":"Sandra M.","family":"Aleixo","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3407-7757","authenticated-orcid":false,"given":"Ricardo","family":"Engui\u00e7a","sequence":"additional","affiliation":[]},{"given":"Francisco","family":"Sedas","sequence":"additional","affiliation":[]},{"given":"Paulo","family":"Ferreira","sequence":"additional","affiliation":[]},{"given":"Andr\u00e9","family":"Silva","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,7,30]]},"reference":[{"key":"24_CR1","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1007\/978-3-031-37129-5_13","volume-title":"ICCSA 2023","author":"V Afreixo","year":"2023","unstructured":"Afreixo, V., Cabral, J., Macedo, P.: Comparison of feature selection methods in regression modeling: a simulation study. In: Gervasi, O., et al. (eds.) ICCSA 2023. LNCS, vol. 14112, pp. 150\u2013159. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-37129-5_13"},{"key":"24_CR2","volume-title":"Regression Diagnostics: Identifying Influential Data and Sources of Collinearity","author":"DA Belsley","year":"2005","unstructured":"Belsley, D.A., Kuh, E., Welsch, R.E.: Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. Wiley, Hoboken (2005)"},{"key":"24_CR3","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1007\/978-3-642-21822-4_21","volume-title":"Modern Approaches in Applied Intelligence","author":"A Bustillo","year":"2011","unstructured":"Bustillo, A., Villar, A., Gorritxategi, E., Ferreiro, S., Rodr\u00edguez, J.J.: Using ensembles of regression trees to monitor lubricating oil quality. In: Mehrotra, K.G., Mohan, C.K., Oh, J.C., Varshney, P.K., Ali, M. (eds.) IEA\/AIE 2011. LNCS (LNAI), vol. 6703, pp. 199\u2013206. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-21822-4_21"},{"key":"24_CR4","series-title":"Springer Texts in Statistics","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1007\/978-1-4614-3900-4_13","volume-title":"Linear Mixed-Effects Models Using R","author":"A Galecki","year":"2013","unstructured":"Galecki, A., Burzykowski, T.: Linear mixed-effects model. In: Galecki, A., Burzykowski, T. (eds.) Linear Mixed-Effects Models Using R. Springer Texts in Statistics, pp. 245\u2013273. Springer, New York (2013). https:\/\/doi.org\/10.1007\/978-1-4614-3900-4_13"},{"key":"24_CR5","doi-asserted-by":"publisher","unstructured":"Malaguti, R., Louren\u00e7o, N., Silva, C.: A supervised machine learning model for determining lubricant oil operating conditions. Expert Syst. 40(5), e13116 (2023). https:\/\/doi.org\/10.1111\/exsy.13116","DOI":"10.1111\/exsy.13116"},{"key":"24_CR6","series-title":"LNCS","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-48649-4_17","volume-title":"Energy Informatics","author":"B Mota","year":"2024","unstructured":"Mota, B., Faria, P., Ramos, C.: Machine learning applied to industrial machines for an efficient maintenance strategy: a predictive maintenance approach. In: Jorgensen, B.N., da Silva, L.C.P., Ma, Z. (eds.) Energy Informatics. LNCS, vol. 14467. Springer, Cham (2024). https:\/\/doi.org\/10.1007\/978-3-031-48649-4_17"},{"key":"24_CR7","doi-asserted-by":"publisher","unstructured":"Malo, N., Hanley, J., Cerquozzi, S., et al.: Statistical practice in high-throughput screening data analysis. Nat. Biotechnol. 24, 167\u2013175 (2006). https:\/\/doi.org\/10.1038\/nbt1186","DOI":"10.1038\/nbt1186"},{"key":"24_CR8","doi-asserted-by":"publisher","unstructured":"Pinheiro, C., Rendall, R., Quina, M., Reis, M., Gando-Ferreira, L.: Assessment and prediction of lubricant oil properties using infrared spectroscopy and advanced predictive analytics. Energy Fuels 31(1), 179\u2013187 (2017). https:\/\/doi.org\/10.1021\/acs.energyfuels.6b01958","DOI":"10.1021\/acs.energyfuels.6b01958"},{"key":"24_CR9","doi-asserted-by":"publisher","unstructured":"Wakiru, J., Pintelon, L., Muchiri, P., Chemweno, P.: A data mining approach for lubricant-based fault diagnosis. J. Qual. Maint. Eng. 27(2), 264\u2013291 (2021). https:\/\/doi.org\/10.1108\/JQME-03-2018-0027","DOI":"10.1108\/JQME-03-2018-0027"},{"key":"24_CR10","doi-asserted-by":"publisher","unstructured":"Yu, J.: A hybrid feature selection scheme and self-organizing map model for machine health assessment. Appl. Soft Comput. 11(5), 4041\u20134054 (2011). https:\/\/doi.org\/10.1016\/j.asoc.2011.03.026. ISSN 1568-4946","DOI":"10.1016\/j.asoc.2011.03.026"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2024 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-65154-0_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,29]],"date-time":"2024-07-29T16:15:25Z","timestamp":1722269725000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-65154-0_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031651533","9783031651540"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-65154-0_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"30 July 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hanoi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","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":"1 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}