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Bejelentkezés
A Tudóstér funkcióinak nagy része bejelentkezés nélkül is elérhető. Bejelentkezésre az alábbi műveletekhez van szükség:
Vágner, A.,
Belics, F.,
Rodrigues, C. M. C.:
From Neo4j to Redis: Storing Graph Data and Comparing Graph Algorithm Performance.
In: Proceedings Book of the International Conference on Computer Sciences (IHCONCS 2026). Eds.: Adem Tekerek; Jana Žiljak Gršić ; Diana Bratić, Tehničko veleučilište u Zagrebu, Zagreb, [Epub ahead of print], 1-10, 2026.
Vágner, A.:
Perspective Chapter: The Role of Data Quality Dimensions in Data-Driven Decision-Making.
In: Data Quality Matters - Best Practices for Integrity and Assurance [Working Title]. Eds.: Sebastian Ventura, José M. Luna and Antonio R. Moya Martín-Castaño
Vágner, A.:
Logical Data Model for Key-Value Databases?.
In: Proceedings of Tenth International Congress on Information and Communication Technology, ICICT 2025, London, Volume 5 / Xin-She Yang et al. (szerk.), Springer, Singapore, 329-342, 2025, (Lecture Notes in Networks and Systems, ISSN 2367-3370, ISSN 2367-3389; 1444.) ISBN: 9789819669318
Vágner, A.:
How Do NoSQL Databases Handle Variety of Big Data?.
In: Proceedings of Ninth International Congress on Information and Communication Technology, ICICT 2024, London, Volume 2.. Ed.: Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi, Springer, London, 459-469, 2024, (Lecture Notes in Networks and Systems 2367-3370 2367-3389 ; 1012.) ISBN: 9789819735556
Al-Zaidi, M. M. H.,
Vágner, A.:
Application-Based Benchmarking on Redis and MongoDB for Trip Planning using GTFS Data.
TEM Journal. 12 (4), 2583-2592, 2023.
Vágner, A.,
Al-Zaidi, M. M. H.:
Sharding and master-slave replication of NoSQL databases - comparison of MongoDB and Redis.
In: Proceedings of the International Conference on Data Science, Technology and Applications DATA (DATA 2023). Eds.: Oleg Gusikhin, Slimane Hammoudi, Alfredo Cuzzocrea, [Institute of Electrical and Electronics Engineers Inc.], [Piscataway], 576-582, 2023, (ISSN 2184-285X) ISBN: 9789897586644
Al-Zaidi, M. M. H.,
Vágner, A.:
Trip Timing Algorithm for GTFS data With Redis Model to Improve the Performance.
Journal of Information Systems and Telecommunication. 11 (3), 260-268, 2023.
Al-Zaidi, M. M. H.,
Vágner, A.:
Benchmarking Redis and HBase NoSQL Databases Using Yahoo Cloud Service Benchmarking Tool.
Ann. Math. Inform. 56, 1-9, 2022.
Al-Zaidi, M. M. H.,
Vágner, A.:
Trip planning algorithm for gtfs data with nosql structure to improve the performance.
J. Theor. Appl. Inf. Technol. 99 (10), 2290-2300, 2021.
Angyal, D.,
Vágner, A.,
Juhász, I.:
Algorithm of oscillometric blood pressure measurement applied on microcontroller.
In: Proceedings of 2018 IEEE International Conference on Future IoT Technologies (Future IoT 2018), IEEE, Washington, [1-4], 2018. ISBN: 9781538612088
Vágner, A.:
Store and Visualize EER in Neo4j.
In: The 2nd International Symposium on Computer Science and Intelligent Control(ISCSIC 2018) will be held in Stockholm, Sweden on 21-23, September, ACM, New York, 54-1-6, 2018. ISBN: 9781450366281
Vágner, A.:
Az adatbázisrendszerek oktatásának múltja és jövője a Programtervező Informatikus BSc képzésben az Debreceni Egyetem Informatikai Karán.
In: Informatika a felsőoktatásban 2017 konferencia kiadványa. Szerk.: Aradi Bernadett, Bujdosó Gyöngyi, Horváth Géza, Szokol Patrícia, Debreceni Egyetem Informatikai Kar, Debrecen, 161-165, 2017. ISBN: 9789634732136
Vágner, A.:
Intelligent route planning system for car divers in a city.
In: 6th IEEE Conference on Cognitive Infocommunications CogInfoCom 2015 : Proceedings, October 19-21, 2015, Széchenyi István University Győr, Hungary, IEEE, Danvers, 551-556, 2015. ISBN: 9781467381284
Szincsák, T.,
Vágner, A.:
Public transit schedule and route planner application for mobile devices.
In: Proceedings of the 9th International Conference on Applied Informatics January 29 - Februar 1, 2014. Eger, Hungary Volume II [elektronikus dokumentum]. Ed.: by Kovács Emőd, Kusper Gábor, Kunkli Roland, Tómács Tibor, Eszterházy Károly Főiskola, Eger, 153-161, 2015. ISBN: 9786155297182
Szincsák, T.,
Vágner, A.:
Data structure to store GTFS data efficiently on mobile devices.
Journal of Computer Science and Software Application. 1 (1), 27-41, 2014.
Vágner, A.,
Vámosi, B.,
Juhász, I.:
Visualization and off-line processing of blood pressure signals.
In: Proceedings of the International Conference on Health Informatics. Eds.: Marta Bienkiewicz [et al.], SCITEPRESS, Setúbal, 393-398, 2014. ISBN: 9789897580109
