{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T01:08:49Z","timestamp":1769562529906,"version":"3.49.0"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031838811","type":"print"},{"value":"9783031838828","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-83882-8_6","type":"book-chapter","created":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T07:22:29Z","timestamp":1741332149000},"page":"53-60","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Enhancing Dropout Prediction Models Through Feature Selection Techniques"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-4695-1978","authenticated-orcid":false,"given":"Daniel","family":"Dom\u00ednguez-G\u00f3mez","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0009-1853-9526","authenticated-orcid":false,"given":"Eduardo","family":"S\u00e1nchez-Jim\u00e9nez","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8842-0899","authenticated-orcid":false,"given":"Yasm\u00edn","family":"Hern\u00e1ndez","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9133-103X","authenticated-orcid":false,"given":"Juan","family":"de Dios Gonz\u00e1lez Torres","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6481-1537","authenticated-orcid":false,"given":"Javier","family":"Ortiz-Hernandez","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,3,8]]},"reference":[{"key":"6_CR1","doi-asserted-by":"crossref","unstructured":"Kuz, A., Morales, R.: Ciencia de datos educativos y aprendizaje autom\u00e1tico: Un caso de estudio sobre la deserci\u00f3n estudiantil universitaria en m\u00e9xico. Educ. Knowl. Soc. (EKS), vol. e30080 (2023)","DOI":"10.14201\/eks.30080"},{"issue":"6","key":"6_CR2","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1080\/00221546.1982.11780504","volume":"53","author":"V Tinto","year":"1982","unstructured":"Tinto, V.: Limits of theory and practice in student attrition. J. High. Educ. 53(6), 687\u2013700 (1982)","journal-title":"J. High. Educ."},{"key":"6_CR3","unstructured":"Gonz\u00e1lez, L.E.: Estudio sobre la repitencia y deserci\u00f3n en la educaci\u00f3n superior chilena. Digital Observatory for Higher Education in Latin America and The Caribbean, IESALC-UNESCO (2005)"},{"key":"6_CR4","doi-asserted-by":"crossref","unstructured":"Ramasubramanian, K., Singh, A.: Machine Learning Using R, no.\u00a01. Springer, Cham (2017)","DOI":"10.1007\/978-1-4842-2334-5"},{"key":"6_CR5","volume-title":"An Introduction to Support Vector Machines: And Other Kernel-Based Learning Methods","author":"N Cristianini","year":"1999","unstructured":"Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines: And Other Kernel-Based Learning Methods. Cambridge University Press, Cambridge (1999)"},{"key":"6_CR6","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/S0003-2670(01)95359-0","volume":"136","author":"D Coomans","year":"1982","unstructured":"Coomans, D., Massart, D.L.: Alternative k-nearest neighbour rules in supervised pattern recognition: part 1. k-nearest neighbour classification by using alternative voting rules. Anal. Chim. Acta 136, 15\u201327 (1982)","journal-title":"Anal. Chim. Acta"},{"key":"6_CR7","unstructured":"Alonso-Betanzos, A.: Filter methods for feature selection. A comparative study. In: Proceedings of the International Conference on Intelligent Data Engineering and Automated Learning, UK, Birmingham, pp. 178\u2013187 (2007)"},{"key":"6_CR8","doi-asserted-by":"crossref","unstructured":"Li, J., et al.: Feature selection: a data perspective. ACM Comput. Surv. 50 (2018)","DOI":"10.1145\/3136625"},{"key":"6_CR9","unstructured":"Kaufmann, J., Schering, A.: Analysis of variance anova. Wiley Encyclopedia of Clinical Trials (2007)"},{"key":"6_CR10","doi-asserted-by":"crossref","unstructured":"Talavera, L.: An evaluation of filter and wrapper methods for feature selection in categorical clustering. In: Proceedings of the International Symposium on Intelligent Data Analysis, Spain, Madrid, pp. 440\u2013451 (2005)","DOI":"10.1007\/11552253_40"},{"key":"6_CR11","first-page":"13","volume":"1","author":"A Karegowda","year":"2010","unstructured":"Karegowda, A., Manjunath, A., Jayaram, M.: Feature subset selection problem using wrapper approach in supervised learning. Int. J. Comput. Appl. 1, 13\u201317 (2010)","journal-title":"Int. J. Comput. Appl."},{"key":"6_CR12","doi-asserted-by":"crossref","unstructured":"Jovi\u0107, A., Brki\u0107, K., Bogunovi\u0107, N.: A review of feature selection methods with applications. In: Proceedings of the 38th International Convention on Information and Communication Technology, Electronics and Microelectronics, Croatia, Opatija, pp. 1200\u20131205 (2015)","DOI":"10.1109\/MIPRO.2015.7160458"},{"key":"6_CR13","doi-asserted-by":"publisher","first-page":"12169","DOI":"10.1007\/s10639-023-11682-z","volume":"28","author":"J Talam\u00e1s-Carvajal","year":"2023","unstructured":"Talam\u00e1s-Carvajal, J., Ceballos, H.: A stacking ensemble machine learning method for early identification of students at risk of dropout. Educ. Inf. Technol. 28, 12169\u201312189 (2023)","journal-title":"Educ. Inf. Technol."},{"key":"6_CR14","unstructured":"Cuevas-Ch\u00e1vez, P., Narciso, S., S\u00e1nchez-Jim\u00e9nez, E., P\u00e9rez, I., Hern\u00e1ndez, Y., Ortiz-Hernandez, J.: School dropout prediction with class balancing and hyperparameter configuration. In: Advances in Computational Intelligence. MICAI. LNCS, vol. 14502, pp. 21\u201332. Springer, Cham (2023)"},{"key":"6_CR15","doi-asserted-by":"publisher","first-page":"3591","DOI":"10.1007\/s10639-019-09934-y","volume":"24","author":"M Youssef","year":"2019","unstructured":"Youssef, M., Mohammed, S., Hamada, E., et al.: A predictive approach based on efficient feature selection and learning algorithms\u2019 competition: case of learners\u2019 dropout in MOOCs. Educ. Inf. Technol. 24, 3591\u20133618 (2019)","journal-title":"Educ. Inf. Technol."},{"key":"6_CR16","doi-asserted-by":"publisher","first-page":"1776","DOI":"10.3390\/math12121776","volume":"12","author":"D Zapata-Medina","year":"2024","unstructured":"Zapata-Medina, D., Espinosa-Bedoya, A., Jim\u00e9nez-Builes, J.: Improving the automatic detection of dropout risk in middle and high school students: a comparative study of feature selection techniques. Mathematics 12, 1776 (2024)","journal-title":"Mathematics"},{"key":"6_CR17","doi-asserted-by":"crossref","unstructured":"Qiu, L., Liu, Y., Liu, Y.: An integrated framework with feature selection for dropout prediction in massive open online courses. IEEE Access 6, 71\u00a0474\u201371\u00a0484 (2018)","DOI":"10.1109\/ACCESS.2018.2881275"}],"container-title":["Lecture Notes in Computer Science","Advances in Computational Intelligence. MICAI 2024 International Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-83882-8_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T07:22:37Z","timestamp":1741332157000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-83882-8_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031838811","9783031838828"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-83882-8_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"8 March 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexican International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tonantzintla","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexico","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":"21 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"micai2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.micai.org\/2024\/index.php","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}