Big data aplication for selecting theses topics

The chairs of thesis research in Computer Sciences at the University of Mumbai, in India, have different tools that provide academic support to those who begin the course. Students present difficulty in selecting the topic to study and, in some cases, this is a reason to neglect or delay in the care...

Full description

Autores:
Silva, Jesus
Hernandez, Lissette
Crissien Borrero, Tito José
Pineda Lezama, Omar Bonerge
Romero Melo, Jenny Esperanza
Tipo de recurso:
Article of journal
Fecha de publicación:
2019
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/5988
Acceso en línea:
https://hdl.handle.net/11323/5988
https://repositorio.cuc.edu.co/
Palabra clave:
Decision trees
WEKA
RapidMiner
Knime
Areas of research
Árboles de decisión
RapidMiner
Áreas de investigación
Rights
openAccess
License
CC0 1.0 Universal
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repository_id_str
dc.title.spa.fl_str_mv Big data aplication for selecting theses topics
dc.title.translated.spa.fl_str_mv Aplicación de Big Data para seleccionar estos temas.
title Big data aplication for selecting theses topics
spellingShingle Big data aplication for selecting theses topics
Decision trees
WEKA
RapidMiner
Knime
Areas of research
Árboles de decisión
RapidMiner
Áreas de investigación
title_short Big data aplication for selecting theses topics
title_full Big data aplication for selecting theses topics
title_fullStr Big data aplication for selecting theses topics
title_full_unstemmed Big data aplication for selecting theses topics
title_sort Big data aplication for selecting theses topics
dc.creator.fl_str_mv Silva, Jesus
Hernandez, Lissette
Crissien Borrero, Tito José
Pineda Lezama, Omar Bonerge
Romero Melo, Jenny Esperanza
dc.contributor.author.spa.fl_str_mv Silva, Jesus
Hernandez, Lissette
Crissien Borrero, Tito José
Pineda Lezama, Omar Bonerge
Romero Melo, Jenny Esperanza
dc.subject.spa.fl_str_mv Decision trees
WEKA
RapidMiner
Knime
Areas of research
Árboles de decisión
RapidMiner
Áreas de investigación
topic Decision trees
WEKA
RapidMiner
Knime
Areas of research
Árboles de decisión
RapidMiner
Áreas de investigación
description The chairs of thesis research in Computer Sciences at the University of Mumbai, in India, have different tools that provide academic support to those who begin the course. Students present difficulty in selecting the topic to study and, in some cases, this is a reason to neglect or delay in the career. Having a registry of thesis of the graduates proved to be useful for obtaining patterns on the relationship between the research area addressed in this thesis and the characteristics that define the researcher. For this study, the knowledge discovery process in Database was used. Finally, the results of the use of algorithms J4.8 in WEKA, ID3 tags in RapidMiner and CART IN Knime and the various models generated, with the data collected were presented.
publishDate 2019
dc.date.issued.none.fl_str_mv 2019
dc.date.accessioned.none.fl_str_mv 2020-02-05T13:28:23Z
dc.date.available.none.fl_str_mv 2020-02-05T13:28:23Z
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REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/5988
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dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.references.spa.fl_str_mv Ebrahimzadeh, I., Shahraki, A., Shahnaz, A. y Myandoab, A. (2016) Progressing urban development and life quality simultaneously. City, Culture and Society 7, (3), 186-193. 9.
C. Vásquez, M. Torres-Samuel, A. Viloria, J. Lis-Gutierrez, T. Crissien, N. Valera y D. Cabrera, «Cluster of the Latina American universitiers Top100 according to Webometrics 2017» de Lectur Notes in Computer Sciencie (Including subseries Lectur Notes in Artifitial Intelligent and Lectur Notes in Bioinformatics), 2018.
R. Melero y F. Abad, «Revistas Open Access: Características, modelos económicos y tendencias,» Lámpsakos, pp. 12-23, 2001.
M. Pinto, J. C. J. Alonso, V. Fernández, C. García, J. Garía, C. Gómez, F. Zazo y A.-V. Doucet, «Análisis cualitativo de la visibilidad de la investigación en las Universidaes españolas a través de su página Web,» Rev. Esp. Doc., pp. 345-370, 2004.
M. Torres-Samuel, Vásquez, C, A. Viloria, J. Lis-Gutierrez, T. Crissien y N. Valera, «Web visibility profiles of Top100 Latin American Universities, » de Lectur Notes in Computer Sciencie (Including subseries Lectur Notes in Artificial Intelligent and Lectur Notes of Bioinformatics, 2018.
ARWU, «Ranking de Shanghái,» [En línea]. Available: http://www.shangairanking.com/ARWU2018.html. [Último acceso: 01 12 2018].
QS, «QS World University Ranking» [En línea]. Available: https://www.topuniversities.com/university-rankings/latin-american-universityrankings/2019. [Último acceso: 01 12 2018].
Scimagooir, «Scimago,» Scimago Lab, [En línea]. Available: https://www.scimagoir.com/methodology.php. [Último acceso: 01 06 2019].
M. Torres-Samuel, C. Vásquez, A. Viloria, L. Hernández-Fernandez y R. Portillo-Medina, «Analysis of patterns in the university Word Rankings Webometrics, Shangai, QS and SIR-Scimago: case Latin American» de Lectur Notes in Computer Science (Including subseries Lecture Notes in Artificial Intelligent and Lecture Notes in Bioinformatics, 2018..
Torres-Samuel, M., Vásquez, C., Viloria, A., Lis-Gutiérrez, J.P., Borrero, T.C., Varela, N.: Web Visibility Profiles of Top100 Latin American Universities. In: Tan Y., Shi Y., Tang Q. (eds) Data Mining and Big Data. DMBD 2018. Lecture Notes in Computer Science, Springer, Cham, vol 10943, 1-12 (2018).
Viloria, A., Lis-Gutiérrez, J.P., Gaitán-Angulo, M., Godoy, A.R.M., Moreno, G.C., Kamatkar, S.J. : Methodology for the Design of a Student Pattern Recognition Tool to Facilitate the Teaching – Learning Process Through Knowledge Data Discovery (Big Data). In: Tan Y., Shi Y., Tang Q. (eds) Data Mining and Big Data.
C. Vásquez, M. Torres-Samuel, A. Viloria, J. Lis-Gutierrez, T. Crissien, N. Valera, D. Cabrera y M. Gaitán-Angulo, «Efficiency analysis of the visibility of Latin American universities and theri impact on the Ranking Web,» de Lecture Notes in Computer Science (Including subseries Lectur Notes in Artificial Intelligent and Lecture Notes in Bioinformatics), 2018
Sekmen, F., Kurkcu, M.: An Early Warning System for Turkey: The Forecasting of Economic Crisis by Using the Artificial Neural Networks. Asian Economic and Financial Review 4(1), 529-43 (2014).
A Lee, P Taylor, J Kalpathy-Cramer, A Tufail Machine learning has arrived!. Ophthalmology, 124 (2017), pp. 1726-1728
Yao L (2006). The present situation and development tendency of higher education quality evaluation in Western Countries. Priv. Educ. Beef. (2006).
Gregorutti B, Michel B, Saint-Pierre P (2015) Grouped variable importance with random forests and application to multiple functional data analysis. Comput Stat Data Anal 90:15–35
Isasi, P., Galván, I.: Redes de Neuronas Artificiales. Un enfoque Práctico. Pearson. ISBN 8420540250 (2004).
Haykin, S.: Neural Networks and Learning Machines. New Jersey, Prentice Hall International (2009).
Zhang, G.P.: Time series forecasting using a hybrid ARIMA and neural network model. Neurocomputing 50 (1), 159-75 (2003).
Kuan, C.M.: Artificial neural networks. In the New Palgrave Dictionary of Economics, ed. S.N. Durlauf and L.E Blume. UK: Palgrave Macmillan (2008).
Pineda Lezama, O., Gómez Dorta, R.: Techniques of multivariate statistical analysis: An application for the Honduran banking sector. Innovate: Journal of Science and Technology, 5 (2), 61-75 (2017).
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spelling Silva, JesusHernandez, LissetteCrissien Borrero, Tito JoséPineda Lezama, Omar BonergeRomero Melo, Jenny Esperanza2020-02-05T13:28:23Z2020-02-05T13:28:23Z201900002010https://hdl.handle.net/11323/5988Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The chairs of thesis research in Computer Sciences at the University of Mumbai, in India, have different tools that provide academic support to those who begin the course. Students present difficulty in selecting the topic to study and, in some cases, this is a reason to neglect or delay in the career. Having a registry of thesis of the graduates proved to be useful for obtaining patterns on the relationship between the research area addressed in this thesis and the characteristics that define the researcher. For this study, the knowledge discovery process in Database was used. Finally, the results of the use of algorithms J4.8 in WEKA, ID3 tags in RapidMiner and CART IN Knime and the various models generated, with the data collected were presented.Los presidentes de investigación de tesis en Ciencias de la Computación de la Universidad de Mumbai, en India, tienen diferentes herramientas que brindan apoyo académico a quienes comienzan el curso. Los estudiantes presentan dificultades para seleccionar el tema a estudiar y, en algunos casos, esta es una razón para descuidar o retrasar la carrera. Tener un registro de tesis de los graduados demostró ser útil para obtener patrones sobre la relación entre el área de investigación abordada en esta tesis y las características que definen al investigador. Para este estudio, se utilizó el proceso de descubrimiento de conocimiento en la base de datos. Finalmente, se presentaron los resultados del uso de algoritmos J4.8 en WEKA, etiquetas ID3 en RapidMiner y CART IN Knime y los diversos modelos generados, con los datos recopilados.Silva, JesusHernandez, LissetteCrissien Borrero, Tito José-will be generated-orcid-0000-0002-7459-7941-600Pineda Lezama, Omar BonergeRomero Melo, Jenny Esperanza-will be generated-orcid-0000-0002-7687-8667-600engProcedia Computer ScienceCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Decision treesWEKARapidMinerKnimeAreas of researchÁrboles de decisiónRapidMinerÁreas de investigaciónBig data aplication for selecting theses topicsAplicación de Big Data para seleccionar estos temas.Artículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionEbrahimzadeh, I., Shahraki, A., Shahnaz, A. y Myandoab, A. (2016) Progressing urban development and life quality simultaneously. City, Culture and Society 7, (3), 186-193. 9.C. Vásquez, M. Torres-Samuel, A. Viloria, J. Lis-Gutierrez, T. Crissien, N. Valera y D. Cabrera, «Cluster of the Latina American universitiers Top100 according to Webometrics 2017» de Lectur Notes in Computer Sciencie (Including subseries Lectur Notes in Artifitial Intelligent and Lectur Notes in Bioinformatics), 2018.R. Melero y F. Abad, «Revistas Open Access: Características, modelos económicos y tendencias,» Lámpsakos, pp. 12-23, 2001.M. Pinto, J. C. J. Alonso, V. Fernández, C. García, J. Garía, C. Gómez, F. Zazo y A.-V. Doucet, «Análisis cualitativo de la visibilidad de la investigación en las Universidaes españolas a través de su página Web,» Rev. Esp. Doc., pp. 345-370, 2004.M. Torres-Samuel, Vásquez, C, A. Viloria, J. Lis-Gutierrez, T. Crissien y N. Valera, «Web visibility profiles of Top100 Latin American Universities, » de Lectur Notes in Computer Sciencie (Including subseries Lectur Notes in Artificial Intelligent and Lectur Notes of Bioinformatics, 2018.ARWU, «Ranking de Shanghái,» [En línea]. Available: http://www.shangairanking.com/ARWU2018.html. [Último acceso: 01 12 2018].QS, «QS World University Ranking» [En línea]. Available: https://www.topuniversities.com/university-rankings/latin-american-universityrankings/2019. [Último acceso: 01 12 2018].Scimagooir, «Scimago,» Scimago Lab, [En línea]. Available: https://www.scimagoir.com/methodology.php. [Último acceso: 01 06 2019].M. Torres-Samuel, C. Vásquez, A. Viloria, L. Hernández-Fernandez y R. Portillo-Medina, «Analysis of patterns in the university Word Rankings Webometrics, Shangai, QS and SIR-Scimago: case Latin American» de Lectur Notes in Computer Science (Including subseries Lecture Notes in Artificial Intelligent and Lecture Notes in Bioinformatics, 2018..Torres-Samuel, M., Vásquez, C., Viloria, A., Lis-Gutiérrez, J.P., Borrero, T.C., Varela, N.: Web Visibility Profiles of Top100 Latin American Universities. In: Tan Y., Shi Y., Tang Q. (eds) Data Mining and Big Data. DMBD 2018. Lecture Notes in Computer Science, Springer, Cham, vol 10943, 1-12 (2018).Viloria, A., Lis-Gutiérrez, J.P., Gaitán-Angulo, M., Godoy, A.R.M., Moreno, G.C., Kamatkar, S.J. : Methodology for the Design of a Student Pattern Recognition Tool to Facilitate the Teaching – Learning Process Through Knowledge Data Discovery (Big Data). In: Tan Y., Shi Y., Tang Q. (eds) Data Mining and Big Data.C. Vásquez, M. Torres-Samuel, A. Viloria, J. Lis-Gutierrez, T. Crissien, N. Valera, D. Cabrera y M. Gaitán-Angulo, «Efficiency analysis of the visibility of Latin American universities and theri impact on the Ranking Web,» de Lecture Notes in Computer Science (Including subseries Lectur Notes in Artificial Intelligent and Lecture Notes in Bioinformatics), 2018Sekmen, F., Kurkcu, M.: An Early Warning System for Turkey: The Forecasting of Economic Crisis by Using the Artificial Neural Networks. Asian Economic and Financial Review 4(1), 529-43 (2014).A Lee, P Taylor, J Kalpathy-Cramer, A Tufail Machine learning has arrived!. Ophthalmology, 124 (2017), pp. 1726-1728Yao L (2006). The present situation and development tendency of higher education quality evaluation in Western Countries. Priv. Educ. Beef. (2006).Gregorutti B, Michel B, Saint-Pierre P (2015) Grouped variable importance with random forests and application to multiple functional data analysis. Comput Stat Data Anal 90:15–35Isasi, P., Galván, I.: Redes de Neuronas Artificiales. Un enfoque Práctico. Pearson. ISBN 8420540250 (2004).Haykin, S.: Neural Networks and Learning Machines. New Jersey, Prentice Hall International (2009).Zhang, G.P.: Time series forecasting using a hybrid ARIMA and neural network model. Neurocomputing 50 (1), 159-75 (2003).Kuan, C.M.: Artificial neural networks. In the New Palgrave Dictionary of Economics, ed. S.N. Durlauf and L.E Blume. UK: Palgrave Macmillan (2008).Pineda Lezama, O., Gómez Dorta, R.: Techniques of multivariate statistical analysis: An application for the Honduran banking sector. Innovate: Journal of Science and Technology, 5 (2), 61-75 (2017).PublicationORIGINALBig Data Aplication for Selecting Theses Topics.pdfBig Data Aplication for Selecting Theses Topics.pdfapplication/pdf430096https://repositorio.cuc.edu.co/bitstreams/d2a6fe2c-9511-4526-b786-cd450fed47c7/downloadf23c61b413cff48f0b8fe15436bb5354MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/fa6d7fa7-a239-4288-9391-bf2076ca86da/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/710980e7-f8e7-48d8-ab5d-8bc3243e0e48/download8a4605be74aa9ea9d79846c1fba20a33MD53THUMBNAILBig Data Aplication for Selecting Theses Topics.pdf.jpgBig Data Aplication for Selecting Theses Topics.pdf.jpgimage/jpeg44816https://repositorio.cuc.edu.co/bitstreams/7a739811-792b-4f77-ba01-91c55c9ce7a7/download5972aa1aa3db5292013f920b44b1d7faMD55TEXTBig Data Aplication for Selecting Theses Topics.pdf.txtBig Data Aplication for Selecting Theses Topics.pdf.txttext/plain39502https://repositorio.cuc.edu.co/bitstreams/989fb197-8d6c-4579-8c17-94c5380c9933/downloadd7496b2a1180e17d39604ee82c53f741MD5611323/5988oai:repositorio.cuc.edu.co:11323/59882024-09-17 10:55:15.786http://creativecommons.org/publicdomain/zero/1.0/CC0 1.0 Universalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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