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
- Covenant Polytechnic, Aba, Abia State 1
- Covenant University, Canaan Land, Ota, Ogun State 4
- Crawford University of Apostolic Faith Mission Faith City, Igbesa, Ogun State 2
- Crescent University, Abeokuta, Ogun State 1
- Cross Rivers University of Technology, Calabar, Cross Rivers State 142
- Delta State Polytechnic, Ogwashi-Uku, Delta State 11
- Delta State Polytechnic, Otefe, Delta State 13
- Delta State University, Abraka, Delta State 139
- Ebonyi State University, Abakaliki, Ebonyi State 17
- Edo University, Iyamho, Edo State 10