Analyzing Algorithm for Searching Large Data Sets Using Hash Based and Tree Based
Student: Liman Adamu Muhammad (Project, 2025)
Department of Computer Science
Ibrahim Badamasi Babangida University, Lapai, Niger State
Abstract
The continuous growth of data and the increasing complexity of datasets have elevated the importance of efficient data retrieval methods. As the volume of data expands in domains such as e-commerce, healthcare, finance, and scientific research, organizations face the critical challenge of retrieving relevant information quickly and accurately. This challenge has made the development and optimization of search algorithms a primary focus in computer science, particularly when dealing with large datasets.Search algorithms serve as the backbone of many systems that require fast, efficient data access, including databases, search engines, and big data analytics platforms. Two main categories of search algorithms are widely used in this context: hash-based and tree-based algorithms.
Keywords
For the full publication, please contact the author directly at: adamliman03@gmail.com
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Institutions
- Federal University of Technology, Minna, Niger State 47
- Federal University of Technology, Owerri, Imo State 95
- Federal University Oye-Ekiti, Ekiti State 41
- Federal University, Birnin-Kebbi, Kebbi State 37
- Federal University, Dutse, Jigawa State 6
- Federal University, Dutsin-Ma, Katsina State 63
- Federal University, Gashua, Yobe State 3
- Federal University, Gusau, Zamfara State 14
- Federal University, Kashere, Gombe State 1
- Federal University, Lafia, Nasarawa State 6