Scientific publications

Journal publications

  • Markovic, N., Sekula, P., Vander Laan, Z., Andrienko, G., Andrienko, N. (2018). Applications of Trajectory Data From the Perspective of a Road Transportation Agency: Literature Review and Maryland Case Study. IEEE Transactions on Intelligent Transportation Systems (Early Access), 1-12.
    Pre-print in open access:
  • Christopher Collins, Natalia Andrienko, Tobias Schreck, Jing Yang, Jaegul Choo, Ulrich Engelke, Amit Jena, Tim Dwyer, “Guidance in the human-machine analytics process”, Visual Informatics, 2018, vol. 2(3), pp.166-180.
    Published version: (open access)
  • Jie Li, Siming Chen, Kang Zhang, Gennady Andrienko, and Natalia Andrienko, “COPE: Interactive Exploration of Co-occurrence Patterns in Spatial Time Series”, IEEE Transactions on Visualization and Computer Graphics, 2018.
    Published version:
  • Shixia Liua, Gennady Andrienko, Yingcai Wu, Nan Cao, Liu Jiang, Conglei Shi, Yu-Shuen Wang, Seokhee Hong, “Steering Data Quality with Visual Analytics: the Complexity Challenge”, Visual Informatics, 2019
    Published version: (open access)
  • Longhi L., Nanni M., “Car telematics big data analytics for insurance and innovative mobility services”, Journal of Ambient Intelligence and Humanized Computing (2019) Click here for the pre-published version
  • Adnan, M., Gazder, U., Yasar, A.-u.-H., Bellemans, T. & Kureshi, I. 2020. “Estimation of travel time distributions for urban roads using GPS trajectories of vehicles: a case of Athens, Greece.” Personal and Ubiquitous Computing. Click here for the pre-published version.
    Published version:
  • Tampakis, P., Doulkeridis, C., Pelekis, N., Theodoridis, Y. 2020. “Distributed Subtrajectory Join on Massive Datasets.” ACM Digital Library. Published version: 

Conference publications

  • P. Nikitopoulos, A.-I. Paraskevopoulos, C. Doulkeridis, N. Pelekis, Y. Theodoridis, “Hot Spot Analysis over Big Trajectory Data”, In Proceedings of the 2018 IEEE International Conference on Big Data (IEEE BigData 2018).
    Download here:
  • Andrienko N., Andrienko G., Garcia J. M. C., Scarlatti D. , “Analysis of Flight Variability: a Systematic Approach”, IEEE Transactions on Visualization and Computer Graphics (proceedings IEEE VAST 2018), 2019, vol. 25(1), pp.54-64.
    Published version:
    Video and supplementary material: and:
  • Tampakis P., Pelekis N., Andrienko N.V., Andrienko G. L., Fuchs G. , and Theodoridis Y. (2018) “Time-aware sub-trajectory clustering in hermes@postgresql”. In ICDE, pages 1581–1584, 2018.
  • Koutroumanis N., Santipantakis G., Glenis A., Doulkeridis C.,Vouros G. , “Integration of Mobility Data with Weather Information”EDBT/ICDT workshops 2019, Lisbon, Portugal, 2019.
    Download here:
  • Katzouris, N., Michelioudakis, E., Artikis, A., & Paliouras, G. (2018, September). Online learning of weighted relational rules for complex event recognition. In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases (pp. 396-413). Springer, Cham. Download here:
  • P. Nikitopoulos, G.A. Sfyris, A. Vlachou, C. Doulkeridis, O. Telelis: “Parallel and Distributed Processing of Reverse Top-k Queries”, In Proceedings of the 35th IEEE International Conference on Data Engineering (ICDE 2019).
  • Guidotti, R, Monreale A, Cariaggi L (2019). Investigating Neighborhood Generation Methods for Explanations of Obscure Image-Classifiers, In: Yang Q., Zhou ZH., Gong Z., Zhang ML., Huang SJ. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2019. Lecture Notes in Computer Science, vol 11439. Springer, Cham.
    Published version::
    Download here:
  • Chen S., Andrienko G., Andrienko N., Doulkeridis C., Koumparos A., (2019) Contextualized Analysis of Movement Events, In: T. V. Landesberger and C.Turkay (Eds) EuroVis Workshop on Visual Analytics (EuroVA), pp: 49- 53, The Eurographics Association. ISBN: 978-3-03868-087-1, DOI: 10.2312/eurova.20191124.
    Download here:
    (This publication received the “EUROVA 2019 best paper award”)
  • Koutroumanis N., Nikitopoulos P., Vlachou A., Doulkeridis C. (2019): NoDA: Unified NoSQL Data Access Operators for Mobility Data. In: Proceedings of the 16th International Symposium on Spatial and Temporal Databases (SSTD’19). (to appear)

  • Tsilionis E., Koutroumanis N., Nikitopoulos P., Doulkeridis C., Artikis A. (2019): Online Event Recognition from Moving Vehicle. In: Proceedings of the 35th International Conference on Logic Programming (ICLP’19). (conditionally accepted).

  • Nanni, M., Longhi, L. (2019): Vehicle mobility data analysis and Individual Mobility Networks for crash prediction. 
    Published version: “Vehicle mobility data analysis and Individual Mobility Networks for crash prediction.”
  • Theodoridis Y. (2020): Learning from Our Movements – The Mobility Data Analytics Era. In: Tserpes K., Renso C., Matwin S. (eds) Multiple-Aspect Analysis of Semantic Trajectories. MASTER 2019. Lecture Notes in Computer Science, vol 11889. Springer, Cham. Published version: