Alican Bozyiğit

ORCID: 0000-0002-4598-1469
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About
Contact & Profiles
Research Areas
  • Transportation Planning and Optimization
  • Hate Speech and Cyberbullying Detection
  • Data Management and Algorithms
  • Bullying, Victimization, and Aggression
  • Advanced Malware Detection Techniques
  • Data Stream Mining Techniques
  • Recommender Systems and Techniques
  • Human Mobility and Location-Based Analysis
  • Image and Video Quality Assessment
  • Transportation and Mobility Innovations
  • Multi-Criteria Decision Making

Dokuz Eylül University
2015-2021

Weatherford College
2019

10.1016/j.eswa.2021.115001 article EN Expert Systems with Applications 2021-04-08

Public transport applications, which aim to propose the ideal route end users, have commonly been used by passengers. However, for public varies depending on preferences of users. The shortest path is preferred most users as a primary criterion route. According our research, Dijkstra's Algorithm mostly in order find path. not efficient planning, because it ignores number transfers and walking distances. Thus, minimize these shortcomings, modified implementing penalty system study....

10.1109/ubmk.2017.8093444 article EN 2017 International Conference on Computer Science and Engineering (UBMK) 2017-10-01

Cyberbullying is a rising problem in worldwide and also Turkey suffering from this dramatically. According to researches, the rate of children that are victims cyberbullying actions was tripled last seven years increased 20%. On other hand, considering literature there only few studies about detection Turkish contents. Thus, we designed eight different artificial neural network models detect social media contents automatically our study. These along with various text mining techniques were...

10.1109/ubmk.2019.8907118 article EN 2021 6th International Conference on Computer Science and Engineering (UBMK) 2019-09-01

Recommendation systems guide users to choose the most appropriate items among numerous alternatives based on predicting their interests. Recently, it is seen that recommendation have become be widely used in educational domain, especially course recommender applications. The objectives of these facilitating selection process students and reducing stresses. current studies generally consider recent grades courses taken by ignore case repeating under pass-fail or grade replacement options....

10.1109/siie.2018.8586681 article EN 2018-09-01

In this study, an evaluation methodology for route planning applications in public transportation is given, and existing web that aim to make the people use effectively, are evaluated terms of running speed, ease use, effectiveness etc. While inspecting outputs software systems, Analytic Hierarchy Process (AHP) Technique Order Preference by Similarity Ideal Solution (TOPSIS) used obtain accurate consistent comparison results. conclusion we obtained important factors users; e.g. time finding...

10.1109/icaict.2015.7338605 article EN 2015-10-01

Public transport route recommendation is a complex problem because passengers take many factors into consideration while planning their trips. In this paper, novel recommending approach proposed to find the ideal public with respect multiple such that number of transfers, total distance, and walking distance (in order importance). Space P modelling technique Dijkstra's Algorithm based method are applied together for first time by approach. The tested on real-world dataset (Public Transport...

10.1109/ubmk.2018.8566432 article EN 2018 3rd International Conference on Computer Science and Engineering (UBMK) 2018-09-01
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