Data Mining Applied in School Dropout Prediction

Amelec Viloria, Jesús García Guliany, William Niebles Núñez, Hugo Hernández Palma, Leonardo Niebles Núñez

DOI: 10.1088/1742-6596/1432/1/012092
Published: 2020-01-01
Container: Journal of Physics: Conference Series
Publisher: IOP Publishing
Open access: unknown

Credibility signals

serious concern Score 29/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
serious concernRetraction Watch retraction: 1 retraction notice matched this DOI. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1088/1742-6596/1432/1/012092,
  title = {Data Mining Applied in School Dropout Prediction},
  author = {Amelec Viloria and Jesús García Guliany and William Niebles Núñez and Hugo Hernández Palma and Leonardo Niebles Núñez},
  year = {2020},
  journal = {Journal of Physics: Conference Series},
  doi = {10.1088/1742-6596/1432/1/012092},
  url = {https://doi.org/10.1088/1742-6596/1432/1/012092}
}

RIS

TY  - JOUR
TI  - Data Mining Applied in School Dropout Prediction
AU  - Amelec Viloria
AU  - Jesús García Guliany
AU  - William Niebles Núñez
AU  - Hugo Hernández Palma
AU  - Leonardo Niebles Núñez
PY  - 2020
JO  - Journal of Physics: Conference Series
DO  - 10.1088/1742-6596/1432/1/012092
UR  - https://doi.org/10.1088/1742-6596/1432/1/012092
ER  -

APA

Viloria, A., Guliany, J. G., Núñez, W. N., Palma, H. H., & Núñez, L. N. (2020). Data Mining Applied in School Dropout Prediction. Journal of Physics: Conference Series. https://doi.org/10.1088/1742-6596/1432/1/012092

Source records

crossref · retrieved 2026-09-27T05:12:45.936Z