Work place: Dept. of Computer Science and Engineering, American International University–Bangladesh, Dhaka- 1213,Bangladesh
E-mail: saef@aiub.edu
Website: http://saefs.xyz
Research Interests: Database Management System, Information Security, Pattern Recognition
Biography
Md. Saef Ullah Miah is currently working as an Assistant Professor in the Computer Sceince department of American International University Bangladesh (AIUB). Besides teaching, he Possesses real life experience of software development and project management. He has completed MSC and BSC from AIUB. His research interest includes data management, pattern recognition, brain computer interfacing and security in information system design. He serves open source projects and does voluntary works for student and developers community.
By Md. Saef Ullah Miah Md. Masuduzzaman Williyam Sarkar H M Mohidul Islam Faisal Porag Sajjad Hossain
DOI: https://doi.org/10.5815/ijeme.2018.01.03, Pub. Date: 8 Jan. 2018
To observe the beauty of nature and to visit various places around the world, a vast number of tourists visit different countries and many tourist attraction sites now-a-days. But Most of the tourist places have failed to introduce itself as a tourist destination to the visitor due to lack of proper information and proper guideline to visit there. This paper tries to focus on some problems in the tourism industry and try to solve those problems using crowd sourced data with some customized algorithms. Some of the main problems are the lack of information about a destination tourist spot, combination on budget to visit the spot, time of travels etc. We proposed a customize algorithm which will provide maximum suggestion to visit a place with nearest all sub place based on user destination within their given budget and time. Using our method, user can choose the most suitable plan for them to visit those places.
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