Alexander Askinadze
Alexander Askinadze
Wissenschaftlicher Mitarbeiter im Fachbereich Informatik, Heinrich-Heine-Universität
Verified email at hhu.de - Homepage
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Year
Predicting Student Test Performance based on Time Series Data of eBook Reader Behavior Using the Cluster-Distance Space Transformation
A Askinadze, M Liebeck, C Stefan
26th International Conference on Computers in Education (ICCE 2018), 430-439, 2018
52018
Respecting Data Privacy in Educational Data Mining: An Approach to the Transparent Handling of Student Data and Dealing with the Resulting Missing Value Problem
A Askinadze, S Conrad
2018 IEEE 27th International Conference on Enabling Technologies …, 2018
52018
Using Venn, Sankey, and UpSet Diagrams to Visualize Students’ Study Progress Based on Exam Combinations
A Askinadze, M Liebeck, S Conrad
9th International Conference on Learning Analytics and Knowledge, 1-5, 2019
42019
Development of an Educational Dashboard for the Integration of German State Universities’ Data
A Askinadze, S Conrad
Educational Datamining. S, 527-528, 2018
42018
A web service architecture for tracking and analyzing data from distributed e-learning environments
A Askinadze, S Conrad
2017 IEEE 26th International Conference on Enabling Technologies …, 2017
42017
Application of the Dynamic Time Warping Distance for the Student Drop-out Prediction on Time Series Data.
A Askinadze, S Conrad
EDM, 2017
42017
Pisco: A Computational Approach to Predict Personality Types from Java Source Code.
M Liebeck, P Modaresi, A Askinadze, S Conrad
FIRE (Working Notes), 43-47, 2016
32016
Predicting Student Dropout in Higher Education Based on Previous Exam Results
A Askinadze, S Conrad
International Conference on Educational Data Mining 2019, 500-503, 2019
22019
The First Data Science Challenge at BTW 2017
P Hirmer, T Waizenegger, G Falazi, M Abdo, Y Volga, A Askinadze, ...
Datenbank-Spektrum 17 (3), 207-222, 2017
22017
Fake war crime image detection by reverse image search
A Askinadze
Datenbanksysteme für Business, Technologie und Web (BTW 2017)-Workshopband, 2017
12017
Anwendung der Regressions-SVM zur Vorhersage studentischer Leistungen.
A Askinadze
GvD, 15-20, 2016
2016
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Articles 1–11