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
- UMA UKPAI SCHOOL OF THEOLOGY, UYO, AKWA IBOM STATE (AFFL TO UNIVERSITY OF UYO) 1
- Umaru Ali Shinkafi Polytechnic, Sokoto, Sokoto State 24
- Umaru Musa Yaradua University, Katsina, Katsina State 28
- Umca, Ilorin (Affiliated To University of Ibadan), Kwara State 1
- University of Abuja, Abuja, Fct 117
- University of Africa, Toru-Orua, Bayelsa State 4
- University of Benin, Benin City, Edo State 362
- University of Calabar Teaching Hospital School of Health Information Mgt. 1
- University of Calabar, Calabar, Cross River State 240
- University of Ibadan, Ibadan, Oyo State 14