Deasia Hagan Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Little Rock

unknown

2 h-index 2 pubs 6 cited

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Biography and Research Information

OverviewAI-generated summary

Deasia Hagan's research focuses on the development of scalable data processing systems. Her recent work includes a 2023 publication on optimal starting parameters for unsupervised data clustering and cleaning within a "Data Washing Machine" framework. This is complemented by her 2024 publication detailing a MapReduce-based design for an unsupervised entity resolution system, emphasizing scalability. Hagan's scholarly output includes two publications with a total of six citations, and she holds an h-index of 2. She collaborates with Nicholas Kofi Akortia Hagan and Kris E. Anderson, both from the University of Arkansas at Little Rock, with whom she shares two co-authored publications.

Metrics

  • h-index: 2
  • Publications: 2
  • Citations: 6

Selected Publications

  • A scalable MapReduce-based design of an unsupervised entity resolution system (2024) DOI
  • Optimal Starting Parameters for Unsupervised Data Clustering and Cleaning in the Data Washing Machine (2023) DOI

Collaborators

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