Deasia Hagan Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
unknown
Research Areas
Biography and Research Information
OverviewAI-generated summary
Deasia Hagan's research focuses on unsupervised machine learning techniques for data processing. Her recent publications include "Optimal Starting Parameters for Unsupervised Data Clustering and Cleaning in the Data Washing Machine" (2023) and "A scalable MapReduce-based design of an unsupervised entity resolution system" (2024). Hagan has a scholarly profile with an h-index of 2, based on 2 publications and 6 citations. She has collaborated with Nicholas Kofi Akortia Hagan and Kris E. Anderson at the University of Arkansas at Little Rock, with whom she shares 2 co-authored publications.
Metrics
- h-index: 2
- Publications: 2
- Citations: 6
Selected Publications
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A scalable MapReduce-based design of an unsupervised entity resolution system (2024)
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Optimal Starting Parameters for Unsupervised Data Clustering and Cleaning in the Data Washing Machine (2023)
Collaboration Network
Top Collaborators
- Optimal Starting Parameters for Unsupervised Data Clustering and Cleaning in the Data Washing Machine
- A scalable MapReduce-based design of an unsupervised entity resolution system
- Optimal Starting Parameters for Unsupervised Data Clustering and Cleaning in the Data Washing Machine
- A scalable MapReduce-based design of an unsupervised entity resolution system
- Optimal Starting Parameters for Unsupervised Data Clustering and Cleaning in the Data Washing Machine
- A scalable MapReduce-based design of an unsupervised entity resolution system
- Optimal Starting Parameters for Unsupervised Data Clustering and Cleaning in the Data Washing Machine
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