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Putting Research-based Machine Learning Solutions for Subject Indexing into Practice

Research article (ZBW Publication Archive (ZBW – Leibniz Information Centre for Economics), 2020) · cited 11× · AI/ML
academia openalex:W3003754477
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Putting Research-based Machine Learning Solutions for Subject Indexing into Practice

Summary

Putting Research-based Machine Learning Solutions for Subject Indexing into Practice is a scholarly article[1].

Key Facts

  • Putting Research-based Machine Learning Solutions for Subject Indexing into Practice's instance of is recorded as scholarly article[2].

Related Entities

Argie Kasprzik

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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). Putting Research-based Machine Learning Solutions for Subject Indexing into Practice. Retrieved May 24, 2026, from https://4ort.xyz/entity/putting-research-based-machine-learning-solutions-for-subject-indexing-into-practice
MLA “Putting Research-based Machine Learning Solutions for Subject Indexing into Practice.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/putting-research-based-machine-learning-solutions-for-subject-indexing-into-practice.
BibTeX @misc{4ortxyz_putting-research-based-machine-learning-solutions-for-subject-indexing-into-practice_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Putting Research-based Machine Learning Solutions for Subject Indexing into Practice}}, year = {2026}, url = {https://4ort.xyz/entity/putting-research-based-machine-learning-solutions-for-subject-indexing-into-practice}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Putting Research-based Machine Learning Solutions for Subject Indexing into Practice — https://4ort.xyz/entity/putting-research-based-machine-learning-solutions-for-subject-indexing-into-practice (retrieved 2026-05-24)

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