The Data Science Lab offers a list of suggested diploma theses to undergraduate and postgraduate students in subjects relative to the research interests of the laboratory. For more information, contact the person in charge of each diploma thesis.
2024-25 theses proposals and preparation guidelines [update: 1/11/2024]
Selected publications, outcomes of BSc/MSc theses
– George S. Theodoropoulos, Kjetil Nørvåg, Christos Doulkeridis: Efficient Semantic Similarity Search over Spatio-textual Data. EDBT 2024: 268-280. https://doi.org/10.48786/edbt.2024.24
– Efstratios Karkanis, Nikos Pelekis, Eva Chondrodima, Yannis Theodoridis: Path-based Traffic Flow Prediction. EDBT/ICDT Workshops 2024. https://ceur-ws.org/Vol-3651/BMDA-1.pdf
– Andreas Tritsarolis, George-Stylianos Theodoropoulos, Yannis Theodoridis: Online discovery of co-movement patterns in mobility data. Int. J. Geogr. Inf. Sci. 35(4): 819-845 (2021). https://doi.org/10.1080/13658816.2020.1834562
– Stratos Mansalis, Eirini Ntoutsi, Nikos Pelekis, Yannis Theodoridis: An evaluation of data stream clustering algorithms. Stat. Anal. Data Min. 11(4): 167-187 (2018). https://doi.org/10.1002/sam.11380
– Stylianos Sideridis, Nikos Pelekis, Yannis Theodoridis: On querying and mining semantic-aware mobility timelines. Int. J. Data Sci. Anal. 2(1-2): 29-44 (2016). https://doi.org/10.1007/s41060-016-0030-1
– Georgios Kellaris, Nikos Pelekis, Yannis Theodoridis: Map-matched trajectory compression. J. Syst. Softw. 86(6): 1566-1579 (2013). https://doi.org/10.1016/j.jss.2013.01.071