Application of data mining for the classification of university programs of industrial engineering accredited in high quality in Colombia
datacite.rights | http://purl.org/coar/access_right/c_abf2 | |
dc.creator | Fontalvo Herrera, Tomás José | |
dc.creator | De la Hoz Domínguez, Enrique José | |
dc.creator | Mendoza-Mendoza, A.A. | |
dc.date.accessioned | 2019-11-06T19:05:11Z | |
dc.date.available | 2019-11-06T19:05:11Z | |
dc.date.issued | 2018 | |
dc.description.abstract | The present research article proposes a method to classify University engineering programs, placing special attention to relations between the subjects of the curriculum and the 12 areas of knowledge established in the body of competencies published by the Institute of industrial and System Engineers (IIES). Techniques of unsupervised data analysis such as Principal Components Analysis (PCA) and cluster analysis were used for the proposed classification. Twenty-one programs, accredited by high quality in Industrial Engineering in Colombia, are used as units of study. The results show that factors such as international accreditation, size of the faculties of engineering and University profile, influence the grouping of the programs of study. The research allowed to classify three large main components and profiles of accredited programs. © 2018 Centro de Informacion Tecnologica. All Rights Reserved. | eng |
dc.description.sponsorship | Center for Outcomes Research and Evaluation, Yale School of Medicine | |
dc.format.medium | Recurso electrónico | |
dc.format.mimetype | application/pdf | |
dc.identifier.citation | Informacion Tecnologica; Vol. 29, Núm. 3; pp. 89-96 | |
dc.identifier.doi | 10.4067/S0718-07642018000300089 | |
dc.identifier.instname | Universidad Tecnológica de Bolívar | |
dc.identifier.issn | 0716-8756 | |
dc.identifier.reponame | Repositorio UTB | |
dc.identifier.uri | https://hdl.handle.net/20.500.12585/8729 | |
dc.language.iso | eng | |
dc.publisher | Centro de Informacion Tecnologica | |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | |
dc.rights.cc | Atribución-NoComercial 4.0 Internacional | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.source | https://www2.scopus.com/inward/record.uri?eid=2-s2.0-85054936093&doi=10.4067%2fS0718-07642018000300089&partnerID=40&md5=1d03643e953a125091f273e7a7c8a3d3 | |
dc.source | Scopus 57195394151 | |
dc.source | Scopus 57204201834 | |
dc.source | Scopus 57195395542 | |
dc.subject.keywords | Clustering | |
dc.subject.keywords | Data mining | |
dc.subject.keywords | Education | |
dc.subject.keywords | Industrial engineering | |
dc.subject.keywords | Principal components | |
dc.subject.keywords | Application programs | |
dc.subject.keywords | Cluster analysis | |
dc.subject.keywords | Data mining | |
dc.subject.keywords | Education | |
dc.subject.keywords | Industrial engineering | |
dc.subject.keywords | Industrial research | |
dc.subject.keywords | Clustering | |
dc.subject.keywords | Engineering program | |
dc.subject.keywords | International accreditation | |
dc.subject.keywords | Principal components | |
dc.subject.keywords | Principal components analysis | |
dc.subject.keywords | System engineers | |
dc.subject.keywords | University programs | |
dc.subject.keywords | Unsupervised data | |
dc.subject.keywords | Principal component analysis | |
dc.title | Application of data mining for the classification of university programs of industrial engineering accredited in high quality in Colombia | |
dc.title.alternative | Aplicación de minería de datos para la clasificación de programas universitarios de ingeniería industrial acreditados en alta calidad en Colombia | |
dc.type.driver | info:eu-repo/semantics/article | |
dc.type.hasversion | info:eu-repo/semantics/publishedVersion | |
dc.type.spa | Artículo | |
dcterms.bibliographicCitation | Arista-Jalife, A., Calderón-Auza, G., Fierro-Radilla, A., Nakano, M., Clasificación de Imágenes Urbanas Aéreas: Comparación entre Descriptores de Bajo Nivel y Aprendizaje Profundo (2017) Inf. Tecnol., 28 (3), pp. 209-224 | |
dcterms.bibliographicCitation | (1999) The Bologna Declaration of 19 June 1999, , https://www.eurashe.eu/library/bologna_1999_bologna-declaration-pdf/, en la web: acceso: 10 de Dicienbre 2016 | |
dcterms.bibliographicCitation | Bray, J., Curtis, J., An ordination of the upland foret communities of southern Wisconsin (1957) Ecological Monographs, 27 (4), pp. 325-349 | |
dcterms.bibliographicCitation | Breu, H., Gil, J., Kirlpatrick, D., Werman, M., Linear time euclidean distance transform algorithms (1995) IEE Transactions on Pattern Analysis and Machine Intelligence, 17 (5), pp. 529-533 | |
dcterms.bibliographicCitation | Cain, A., Harrison, G., An analysis of the taxonomist's judgment of affinity (1958) Journal of Zoology, 131 (1), pp. 85-98 | |
dcterms.bibliographicCitation | Cattel, R., The scree test for the number of factors (1966) Multivariate Behavioral Research, 1 (2), pp. 245-276 | |
dcterms.bibliographicCitation | Cuadras, C., (2014) Nuevos Métodos De Análisis Multivariante, pp. 138-140. , CMC Editions. Barcelona, España | |
dcterms.bibliographicCitation | Davenport, T., Short, J.E., The new industrial engineering: Information technology and business process redesign (1990) Sloan Management Review, 31 (4), pp. 11-27 | |
dcterms.bibliographicCitation | De la Hoz, E., López, L., Aplicación de Técnicas de Análisis de Conglomerados y Redes Neuronales Artificiales en la Evaluación del Potencial Exportador de una Empresa (2017) Inf. Tecnol, 28 (4), pp. 67-74 | |
dcterms.bibliographicCitation | Dietrich, G., The emergence of the credit system in American education considered as a problem of social and intellectual history (1955) Bulletin of The American Association of University Professors (1915-1955, 41 (4), pp. 647-668 | |
dcterms.bibliographicCitation | Gower, J., A general coefficient of similarity and some of its properties (1971) Biometrics, 27 (4), pp. 857-871 | |
dcterms.bibliographicCitation | He, Y., Sang, N., Gao, C., Han, J., Online Unsupervised Learning Classification of pedestrian and vehicle for video surveillance (2017) Chinese Journal of Electronics, 26 (1), pp. 145-151 | |
dcterms.bibliographicCitation | Hotelling, H., Analysis of a complex of statistical variables into principal components (1933) Journal of Educational Pshychology, 24 (6), pp. 417-441 | |
dcterms.bibliographicCitation | Institute of Industrial and Systems Engineers, , http://www.iise.org, en la web: acceso 23 de Abril 2017 | |
dcterms.bibliographicCitation | Kotsiantis, S., Zaharakis, I., Pintelas, P., Supervised machine learning: A review of classification techniques (2007) Informatica, 31, pp. 249-268 | |
dcterms.bibliographicCitation | Lange, G., Williams, W.A., General theory of classificatory sorting strategies: II. Clustering Systems (1967) The Computer Journal, 10 (3), pp. 271-277 | |
dcterms.bibliographicCitation | Le, S., Josse, J., Husson, F., FactoMiner: A package for Multivariate Analysis (2008) Journal of Statistical Software, 25 (1), pp. 1-18 | |
dcterms.bibliographicCitation | Lohman, C., Fortuin, L., Marc, W., Designing a performance measurement system: A case study (2004) European Journal of Operational Research, 156 (2), pp. 267-268 | |
dcterms.bibliographicCitation | Maffioli, F., Augusti, G., Tuning engineering education into the european higher education orchestra (2003) European Journal of Engineering Education, 28 (3), pp. 251-273 | |
dcterms.bibliographicCitation | Ibrahim, M.R., Williams, F., Concept maps: Development and validation of engineering curricula (2007) Frontiers In Education Conference-Global Engineering: Knowledge Without Borders, Opportunities Without Passports, pp. 518-523. , ilweakee, USA 10 a 13 de Octubre | |
dcterms.bibliographicCitation | Passow, H., Passow, C., What competencies should undergraduate engineering programs emphasize? A systematic review (2017) Journal of Engineering Education, 106 (3), pp. 475-526 | |
dcterms.bibliographicCitation | Pérez-Benedito, M.A., Porcuna-Enguix, L., Porcuna-Enguix, R., Los Mapas Contables de Gestión de las Empresas Cotizadas Chilenas: Análisis Cualitativo (2017) Inf. Tecnol., 28 (1), pp. 161-170 | |
dcterms.bibliographicCitation | Persson, A., Ryals, L., Making customer relationship decisions (2014) Journal of Business Research, 67 (8), pp. 1725-1732 | |
dcterms.bibliographicCitation | Punj, G., Stewart, D., Cluster analysis in marketing research. Review and suggestions (1983) Journal of Marketing Research, 20 (2), pp. 134-148 | |
dcterms.bibliographicCitation | (2008) R: A Language and Environment for Statistical Computing, , oundation for Statistical Computing | |
dcterms.bibliographicCitation | Rollande, R., Grundspenkis, J., Graph based framework and its implemented prototype for personalized study planning (2013) Second International Conference on E-Learning and E-Technologies in Education, pp. 137-142. , odz, Poland 23 al 25 de Septiembre | |
dcterms.bibliographicCitation | Siirtola, H., Raiha, K.J., Surakka, V., Interactive curriculum visualization (2013) Information Visualization 17th International Conference, pp. 108-117. , ondon, UK 15 a 18 de Julio | |
dcterms.bibliographicCitation | Sinclair, M., Siemieniuch, C., Cooper, E., Vaddell, N., A discussion of simultaneous engineering and the manufacturing supply chain from an ergonomics perspective (1995) International Journal of Ergonomics, 16 (4), pp. 263-281 | |
dcterms.bibliographicCitation | Swedberg, R., Can you visualize theory? On the use of visual thinking in theory pictures, theorizing diagrams, and visual sketches (2016) Sociological Theory, 34 (3), pp. 250-275 | |
dcterms.bibliographicCitation | Tang, F., Hess, T., Valacich, J., Sweeney, J., The effects of visualization and interactivity on calibration in financial decision-making (2013) Behavioral Research in Accounting, 26 (1), pp. 25-28 | |
dcterms.bibliographicCitation | Tirado, L., Estrada, J., Ortiz, R., Solano, H., Gonzalez, J., Alfonso, D., Ortiz, D., Competencias profesionales: Una estrategia para el desempeño exitoso de los ingenieros industriales (2007) Revista Facultad De Ingeniería Universidad De Antioquia, pp. 123-139 | |
dcterms.bibliographicCitation | Verikas, A., Gelzinis, A., Bacauskiene, M., Mining data with random forests: A survey and results of new tests (2011) Pattern Recognition, 44 (2), pp. 330-349 | |
dcterms.bibliographicCitation | Xanthopoulos, A.S., Koulouriotis, D.E., Cluster analysis and neural network-based metamodeling of priority rules for dynamic sequencing (2015) Journal of Intelligent Manufacturing, pp. 1-23 | |
oaire.resourceType | http://purl.org/coar/resource_type/c_6501 | |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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