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POST-DS: A Methodology to Boost Data Science

Research article (2020 15th Iberian Conference on Information Systems and Technologies (CISTI), 2020) · cited 27× · AI/ML
academia openalex:W3043239278
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POST-DS: A Methodology to Boost Data Science

Summary

POST-DS: A Methodology to Boost Data Science is a scholarly article[1].

Key Facts

  • POST-DS: A Methodology to Boost Data Science's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). POST-DS: A Methodology to Boost Data Science. Retrieved May 24, 2026, from https://4ort.xyz/entity/post-ds-a-methodology-to-boost-data-science
MLA “POST-DS: A Methodology to Boost Data Science.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/post-ds-a-methodology-to-boost-data-science.
BibTeX @misc{4ortxyz_post-ds-a-methodology-to-boost-data-science_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{POST-DS: A Methodology to Boost Data Science}}, year = {2026}, url = {https://4ort.xyz/entity/post-ds-a-methodology-to-boost-data-science}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): POST-DS: A Methodology to Boost Data Science — https://4ort.xyz/entity/post-ds-a-methodology-to-boost-data-science (retrieved 2026-05-24)

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