Minos Garofalakis - Selected Publications#

Minos Garofalakis’s research work has received over 16.000 citations, with an h-index value of 69.
Best Paper Award: IEEE ICDE’2009. Best Demonstration Award: ACM CIKM’2020.
“Best of Conference” selections: ACM SIGMOD (2016, 2013, 2002), VLDB (2006, 2005, 2002, 2000),
ACM PODS (2004, 2003), ICDT (2017).

1. Graham Cormode, Minos Garofalakis, and Michael Shekelyan. "Data-Independent Space Partitionings for Summaries", Proceedings of ACM PODS'2021, Xi'an, Shaanxi, China, June 2021.

2. Michael Shekelyan, Anton Dignos, Johann Gamper, and Minos Garofalakis. "Approximating Multidimensional Range Counts with Maximum Error Guarantees", Proceedings of IEEE ICDE'2021, Chania, Greece, April 2021.

3. Nikos Giatrakos, Elias Alevizos, Alexander Artikis, Antonios Deligiannakis, and Minos Garofalakis. "Complex Event Recognition in the Big Data Era: A Survey", The VLDB Journal, Vol. 29, No. 1, 2020.

4. Vasilis Samoladas and Minos Garofalakis. "Functional Geometric Monitoring for Distributed Streams", Proceedings of EDBT'2019, Lisbon, Portugal, March 2019.

5. Ioannis Demertzis, Stavros Papadopoulos, Odysseas Papapetrou, Antonios Deligiannakis, Minos Garofalakis, and Charalampos Papamanthou. "Practical Private Range Search in Depth", ACM Transactions on Database Systems, Vol. 43, No. 1, March 2018. (Best of SIGMOD'2016 Special Issue)

6. Odysseas Papapetrou and Minos Garofalakis. "Monitoring Distributed Fragmented Skylines", Distributed and Parallel Databases, Vol. 36, No.4, 2018.

7. Nikos Giatrakos, Antonios Deligiannakis, Minos Garofalakis, Daniel Keren, and Vasilis Samoladas. "Scalable Approximate Query Tracking over Highly Distributed Data Streams with Tunable Accuracy Guarantees", Information Systems, Vol. 76, 2018.

8. Minos Garofalakis and Vasilis Samoladas. "Distributed Query Monitoring via Convex Analysis: Towards Composable Safe Zones", Proceedings of ICDT'2017, Venice, Italy, March 2017.

9. Minos Garofalakis, Johannes Gehrke, and Rajeev Rastogi (Eds.). "Data Stream Management - Processing High-Speed Data Streams", Springer-Verlag, New York (Data-Centric Systems and Applications Series), July 2016 (ISBN 978-3-540-28607-3).

10. Graham Cormode, Minos Garofalakis, Peter J. Haas, and Christopher M. Jermaine. "Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches", Foundations and Trends in Databases, Vol. 4, No. 1-3, pp. 1-294, 2012. (ISBN 978-1601985163).