Δημοσιεύσεις

Unsupervised Disaggregation of Low Granularity Resource Consumption Time Series. Pantelis Chronis, Giorgos Giannopoulos, Spiros Athanasiou, and Spiros Skiadopoulos. The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018), 2018 

Map-Based Visual Exploration of Geolocated Time Series . Giorgos Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Spiros Athanasiou, and Spiros Skiadopoulos. BigVis EDBT/ICDT 2018, 2018 

Indexing Geolocated Time Series Data. Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Spiros Athanasiou, Spiros Skiadopoulos. 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2017), 2017 

Effects of real-time shower feedback on showering behaviour and psychological determinants – a pilot study. Katharina Eckartz, Anja Peters, Spiros Athanasiou, Aaron Burton, Ignacio Casals del Busto, Alejandro Garcia Monteagudo. International Conference on Human Dimension of Environmental Risks, 2017 

Open Issues and Challenges on Time Series Forecasting for Water Consumption. Pantelis Chronis, Giorgos Giannopoulos, Spiros Athanasiou. EDBT/ICDT Workshops 2016, 2016 

A MapReduce Based k-NN Joins Probabilistic Classifier. Georgios Chatzigeorgakidis, Sophia Karagiorgou, Spiros Athanasiou, and Spiros Skiadopoulos. 2105 IEEE International Conference on Big Data (IEEE BigData 2015), 2015 

DAIAD: from droplets of participation to streams of knowledge. Spiros Athanasiou, Thorsten Staake, Thomas Stiefmeier, Christian Sartorius, Jacob Tompkins, Efthymios Lytras. Intelligent Distribution for Efficient and Affordable Supplies, Water IDEAS 2014, 2014 

DAIAD: Open Water Monitoring. Spiros Athanasiou, Thorsten Staake, Thomas Stiefmeier, Christian Sartorius, Jacob Tompkins, Efthymios Lytras. 16th Conference on Water Distribution System Analysis, WDSA2014, 2014 

FML kNN: scalable machine learning on Big Data using k nearest neighbor joins. Giorgos Chatzigeorgakidis, Sophia Karagiorgou, Spiros Athanasiou, and Spiros Skiadopoulos. Journal of Big Data, Vol. 5, DOI: 10.1186/s40537-018-0115-x, 2018