Skip to main content

Retraction Note to: Chapters

Correction

Part of the Communications in Computer and Information Science book series (CCIS,volume 1071)

Retraction Note to:

Chapter “Data Mining to Identify Risk Factors Associated with University Students Dropout” in: Jesús Silva, Alex Castro Sarmiento, Nicolás María Santodomingo, Norka Márquez Blanco, Wilmer Cadavid Basto, Hugo Hernández P, Jorge Navarro Beltrán, Juan de la Hoz Hernández, and Ligia Romero, Data Mining and Big Data, CCIS 1071, https://doi.org/10.1007/978-981-32-9563-6_5

Retraction Note to:

Chapter “Differential Evolution Clustering and Data Mining for Determining Learning Routes in Moodle” in: Amelec Viloria, Tito Crissien Borrero, Jesús Vargas Villa, Maritza Torres, Jesús García Guiliany, Carlos Vargas Mercado, Nataly Orellano Llinas, and Karina Batista Zea, Data Mining and Big Data, CCIS 1071, https://doi.org/10.1007/978-981-32-9563-6_18

1. Chapter 5.

The Editors have retracted this conference paper [1] because it contains material that substantially overlaps with content translated from another article by different authors [2]. The authors Jesús Silva, Alex Castro Sarmiento, Hugo Hernández P., and Ligia Romero agree to this retraction, the authors Nicolás María Santodomingo, Norka Márquez Blanco, Wilmer Cadavid Basto, Jorge Navarro Beltrán, and Juan de la Hoz Hernández have not responded to any correspondence from the editor/publisher about this retraction.

[1] Silva, Jesús, et al. “Data Mining to Identify Risk Factors Associated with University Students Dropout.” International Conference on Data Mining and Big Data. Springer, Singapore, 2019. https://doi.org/10.1007/978-981-32-9563-6_5

[2] Reyes-Nava, A., et al. “Minería de datos aplicada para la identificación de factores de riesgo en alumnos.” Res. Comput. Sci. 139 (2017): 177–189. http://dx.doi.org/10.13053/rcs-139-1-14

2. Chapter 18.

The Editors have retracted this conference paper [1] because it contains material that substantially overlaps with content translated from another article by different authors [2]. The authors Amelec Viloria, Tito Crissien Borrero, Jesús Vargas Villa, Maritza Torres, Nataly Orellano Llinas, and Karina Batista Zea agree to this retraction, the authors Jesús García Guiliany and Carlos Vargas Mercado have not responded to any correspondence from the editor/publisher about this retraction. Tito Crissien stated that he was not aware of this submission.

[1] Viloria, Amelec, et al. “Differential evolution clustering and data mining for determining learning routes in moodle.” International Conference on Data Mining and Big Data. Springer, Singapore, 2019. https://doi.org/10.1007/978-981-32-9563-6_18

[2] Vega, Alejandro Bogarín, Cristóbal Romero Morales, and Rebeca Cerezo Menéndez. “Aplicando minería de datos para descubrir rutas de aprendizaje frecuentes en Moodle.” Edmetic 5.1 (2016): 73–92. https://doi.org/10.21071/edmetic.v5i1.4017

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2021 Springer Nature Singapore Pte Ltd.

About this paper

Verify currency and authenticity via CrossMark

Cite this paper

Tan, Y., Shi, Y. (2021). Retraction Note to: Chapters. In: Tan, Y., Shi, Y. (eds) Data Mining and Big Data. DMBD 2019. Communications in Computer and Information Science, vol 1071. Springer, Singapore. https://doi.org/10.1007/978-981-32-9563-6_35

Download citation

  • DOI: https://doi.org/10.1007/978-981-32-9563-6_35

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9562-9

  • Online ISBN: 978-981-32-9563-6

  • eBook Packages: Computer ScienceComputer Science (R0)