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Publications

■ On Topic Aware Recommendation to Increase Popularity in Microblogging Services
Litou, I., Kalogeraki, V., & Gunopulos, D. (2016, October). On Topic Aware Recommendation to Increase Popularity in Microblogging Services (Short Paper). In OTM Confederated International Conferences" On the Move to Meaningful Internet Systems" (pp. 673-681). Springer International Publishing.

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■ State Detection using Adaptive Human Sensor Sampling
Boutsis, I., Kalogeraki, V., & Gunopulos, D. (2016, September). State Detection Using Adaptive Human Sensor Sampling. In Fourth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2016

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■ LOCAl: Personalized cache mechanism for Location-Based Social Networks
Tomaras, D., Boutsis, I., Kalogeraki, V., & Gunopulos, D. (2016, October). LOCAl: a personalized cache mechanism for location-based social networks. In Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (p. 78). ACM.

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■ Intelligent Urban Data Monitoring for Smart Cities
Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis, Dimitrios Gunopulos, Nikos Zacheilas, Ioannis Boutsis, Vana Kalogeraki, Stephen Lynch, Brendan O'Brien: Intelligent Urban Data Monitoring for Smart Cities. ECML/PKDD (3) 2016: 177-192

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■ Knowledge-Based Trajectory Completion from Sparse GPS Samples
Li, Y., Li, Y., Gunopulos, D., & Guibas, L. (2016, October). Knowledge-based trajectory completion from sparse GPS samples. In Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (p. 33). ACM.
This work describes a technique for converting sparsely sampled trajectories to dense ones. The technique, addresses the trajectory sparsity problem, using large trajectory data, without requiring a map.
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■ City-Scale Map Creation and Updating using GPS Collections
Chen, C., Lu, C., Huang, Q., Yang, Q., Gunopulos, D., & Guibas, L. (2016, August). City-Scale Map Creation and Updating using GPS Collections. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 1465-1474). ACM.
This paper introduces a novel technique that automatically builds a digital map from a GPS trajectory collection. The same technique is able to update an existing map in the case of a change in the road network handling this way the data veracity problem, that is one of the major VaVeL goals, for the digital map case.
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■ Accurate prediction of queue length in public service offices on the basis of Open Urban Data APIs
Piotr Wawrzyniak, Jaroslaw Legierski , "Accurate prediction of queue length in public service offices on the basis of Open Urban Data APIs", Federated Conference on Computer Science and Information Systems FedCSIS 2016, Gdańsk, Poland.

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■ Mining Hidden Constrained Streams in Practice: Informed Search in Dynamic Filter Spaces
N. Panagiotou, I. Katakis, D. Gunopulos, V. Kalogeraki, E. Daly, J. Yuan Yu, Brendan O’ Brien, The 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, San Francisco, CA, USA, 18 – 21 August, 2016

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■ Online Problems in Timetabling: Bus Priority at Signalised Junctions
Randall Cogill, Jakub Marecek, Martin Mevissen, Hana Rudova, " Online Problems in Timetabling: Bus Priority at Signalised Junctions" PATAT, Udine, Italy, August 2016

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■ Matrix Completion under Interval Uncertainty
Mareček, J., Richtárik, P., & Takáč, M. (2017). Matrix completion under interval uncertainty. European Journal of Operational Research, 256(1), 35-43.
Matrix completion under interval uncertainty can be cast as matrix completion with element-wise box constraints. We show that alternating-direction parallel coordinate-descent method for the problem outperforms any other known method on a benchmark in image in-painting in terms of signal-to-noise ratio, and that it provides high-quality solutions for an instance of collaborative filtering with 100,198,805 recommendations within 5 minutes.
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■ ICU: A tool for Intent Filtering on Android devices
Bakopoulou, E., Thanopoulos, P., Boutsis, I., & Kalogeraki, V. (2016, June). ICU: A tool for Intent Filtering on Android devices. In Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments (p. 79). ACM.

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■ Complete Coverage Path Planning for arbitrary number of Unmanned Aerial Vehicles
D. Dedousis, V. Kalogeraki, PETRA 2016, Corfu Island, June-July 2016

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■ Reliable Crowdsourced Event Detection in Smart Cities
Boutsis, I., Kalogeraki, V., & Guno, D. (2016, April). Reliable crowdsourced event detection in smartcities. In Science of Smart City Operations and Platforms Engineering (SCOPE) in partnership with Global City Teams Challenge (GCTC)(SCOPE-GCTC), 2016 1st International Workshop on (pp. 1-6). IEEE.

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■ Pareto-based Scheduling of MapReduce Workloads
Zacheilas, N., & Kalogeraki, V. (2016, May). Pareto-Based Scheduling of MapReduce Workloads. In Real-Time Distributed Computing (ISORC), 2016 IEEE 19th International Symposium on (pp. 174-181). IEEE.

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■ ChEsS: Cost-Effective Scheduling across Multiple Heterogeneous MapReduce Clusters
Zacheilas, N., & Kalogeraki, V. (2016, July). ChEsS: Cost-Effective Scheduling across multiple heterogeneous mapreduce clusters. In Autonomic Computing (ICAC), 2016 IEEE International Conference on (pp. 65-74). IEEE.

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■ Using Human Social Sensors for Robust Event Location Detection
Boutsis, I., & Kalogeraki, V. (2016, May). Using Human Social Sensors for Robust Event Location Detection. In Distributed Computing in Sensor Systems (DCOSS), 2016 International Conference on (pp. 105-107). IEEE.

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■ A fast and efficient entity resolution approach for preserving privacy in mobile data
Boutsis, I., & Kalogeraki, V. (2016, June). A fast and efficient entity resolution approach for preserving privacy in mobile data. In Big Data (BigData Congress), 2016 IEEE International Congress on (pp. 173-180). IEEE, San Francisco, CA.

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■ Real-Time and Cost-Effective Limitation of Misinformation Propagation
Litou, I., Kalogeraki, V., Katakis, I., & Gunopulos, D. (2016, June). Real-Time and Cost-Effective Limitation of Misinformation Propagation. In Mobile Data Management (MDM), 2016 17th IEEE International Conference on (Vol. 1, pp. 158-163). IEEE.

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■ Dynamic Load Balancing Techniques for Distributed Complex Event Processing Systems
Zacheilas, N., Zygouras, N., Panagiotou, N., Kalogeraki, V., & Gunopulos, D. (2016). Dynamic Load Balancing Techniques for Distributed Complex Event Processing Systems. In Distributed Applications and Interoperable Systems (pp. 174-188). Springer International Publishing.

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■ Understanding movement data quality
Andrienko, G., Andrienko, N., & Fuchs, G. (2016). Understanding movement data quality. Journal of location Based services, 10(1), 31-46, DOI: 10.1080/17489725.2016.1169322
This paper reviews the key properties of movement data and, on their basis, create a typology of possible data quality problems and suggest approaches to identify these types of problems. The proposed methods are essential for the overall success of analyses and predictions in all tasks of VaVeL.
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