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
- Binyaminu Usman Polytechnic, Hadijia, Jigawa State 3
- Borno State University, Maiduguri, Borno State 15
- Bowen University, Iwo, Osun State 1
- Chukwuemeka Odumegwu Ojukwu University, Uli, Anambra State 254
- College of Agriculture and Animal Science, Mando Road, Kaduna, Kaduna State 1
- College of Agriculture, Science and Technology, Lafia, Nasarawa State 8
- College of Education, Akwanga (affl To Ahmadu Bello Univ, Zaria) 1
- College of Education, Eha Amufu, (Affliliated To Unn), Enugu State 1
- College of Education, Warri (Affiliated To Delta State Uni, Abraka), Delta State 1
- College of Health Technology, Calabar, Cross River State 1