Abubakr Hassan
Biographic Data
| ID | 9965702 |
|---|---|
| NAME | Abubakr Hassan |
| GIVEN NAMES | Abubakr |
| FAMILY NAME | Hassan |
| SIGNATURE | HASSAN A |
| AFFILIATIONS | Karary University |
| ORCID | 0000-0003-1998-4559 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Enhancing the K-Means Algorithm through a Genetic Algorithm Based on Survey and Social Media Tourism Objectives for Tourism Path Recommendations
Social media platforms play a vital role in determining valuable tourist objectives, which greatly aids in optimizing tourist path planning. As data classification and analysis methods have advanced, machine learning (ML) algorithms such as the k-means algorithm have emerged as powerful tools for sorting through data collected from social media platforms. However, traditional k-means algorithms have drawbacks, including challenges in determining …
A Novel Urban Tourism Path Planning Approach Based on a Multiobjective Genetic Algorithm
One of the most important variables that leads to effective individual and group tours is the tourism route planning approach, which enables tourists to engage with tourism with ease, speed, and safety. However, current methods of designing tourist routes have some glitches, such as relying only on external objectives to find the best route. In this paper, a novel urban tourism path planning method based on a multiobjective genetic algorithm is p…
No prominent works on this page.
A Novel Urban Tourism Path Planning Approach Based on a Multiobjective Genetic Algorithm
One of the most important variables that leads to effective individual and group tours is the tourism route planning approach, which enables tourists to engage with tourism with ease, speed, and safety. However, current methods of designing tourist routes have some glitches, such as relying only on external objectives to find the best route. In this paper, a novel urban tourism path planning method based on a multiobjective genetic algorithm is p…
Enhancing the K-Means Algorithm through a Genetic Algorithm Based on Survey and Social Media Tourism Objectives for Tourism Path Recommendations
Social media platforms play a vital role in determining valuable tourist objectives, which greatly aids in optimizing tourist path planning. As data classification and analysis methods have advanced, machine learning (ML) algorithms such as the k-means algorithm have emerged as powerful tools for sorting through data collected from social media platforms. However, traditional k-means algorithms have drawbacks, including challenges in determining …
Computer Science (2 works) · Diverse Aspects of Tourism Research (2 works) · Genetic algorithm (2 works) · Machine learning (2 works) · Tourism (2 works) · Algorithm (1 work) · Analytic hierarchy process (1 work) · Cruise Tourism Development and Management (1 work) · Data mining (1 work) · Digital Marketing and Social Media (1 work)