Nicholas Kofi Akortia Hagan Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
University of Arkansas at Little Rock
unknown
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Biography and Research Information
OverviewAI-generated summary
Nicholas Kofi Akortia Hagan's research focuses on developing and scaling unsupervised data processing techniques. His work includes the creation of a "Data Washing Machine" designed for efficient data cleaning and clustering. He has investigated scalable MapReduce-based systems for entity resolution and has explored graph-based unsupervised entity resolution methods, utilizing techniques like composite modularity optimization and locality-sensitive hashing. His recent publications demonstrate a focus on applying Apache Spark for scalable data washing machine designs. Hagan has collaborated with Kris E. Anderson and Deasia Hagan at the University of Arkansas at Little Rock, as well as Md Abdus Salam Siddique from Arkansas Tech University, contributing to a total of four publications.
Metrics
- h-index: 2
- Publications: 4
- Citations: 9
Selected Publications
- SparkDWM: a scalable design of a Data Washing Machine using Apache Spark (2024) DOI
- 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
- ModER: Graph-based Unsupervised Entity Resolution using Composite Modularity Optimization and Locality Sensitive Hashing (2022) DOI
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