Leveraging Large Language Models for Sequential Recommendation Jesse Harte, Wouter Zorgdrager, Panos Louridas, Asterios Katsifodimos, Dietmar Jannach, Marios Fragkoulis. In the Proceedings of the conference ACM Recommender Systems (RecSys) Conference 2023.
DEBS'23
Adaptive Distributed Streaming Similarity Joins George Siachamis, Kyriakos Psarakis, Marios Fragkoulis, Odysseas Papapetrou, Arie van Deursen, Asterios Katsifodimos. In the Findings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL) 2023.
ACL'23
Automatic Table Union Search with Tabular Representation Learning Xuming Hu, Shen Wang, Xiao Qin, Chuan Lei, Zhengyuan Shen, Christos Faloutsos, Asterios Katsifodimos, George Karypis, Lijie Wen, Philip S. Yu. In the Findings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL) 2023.
ICWE'23
Optimizing ML Inference Queries Under Constraints Ziyu Li, Mariette Schönfeld, Wenbo Sun, Marios Fragkoulis, Rihan Hai, Alessandro Bozzon, Asterios Katsifodimos. In the Proceedings of the International Conference on Web Engineering (ICWE) 2023.
ICWE'23
Topio: An Open-Source Web Platform for Trading Geospatial Data Andra Ionescu, Kostas Patroumpas, Kyriakos Psarakis, Georgios Chatzigeorgakidis, Diego Collarana, Kai Barenscher, Dimitrios Skoutas, Asterios Katsifodimos, Spiros Athanasiou. In the Proceedings of the International Conference on Web Engineering (ICWE) 2023.
CIDR'23 / EDBT'24
Stateful Entities: Object-oriented Cloud Applications as Distributed Dataflows Kyriakos Psarakis, Wouter Zorgdrager, Marios Fragkoulis, Guido Salvaneschi, Asterios Katsifodimos. In the Proceedings of the 22nd International Conference on Extending Database Technology (EDBT) 2024.
EDBT'23
Topio Marketplace: Search and Discovery of Geospatial Data Andra Ionescu, Alexandra Alexandridou, Leonidas Ikonomou, Kyriakos Psarakis, Kostas Patroumpas, Georgios Chatzigeorgakidis, Dimitrios Skoutas, Spiros Athanasiou, Rihan Hai, Asterios Katsifodimos. In the Proceedings of the 22nd International Conference on Extending Database Technology (EDBT) 2023 (demonstration track).
Inf. Systems '22
Transactions across serverless functions leveraging stateful dataflows Martijn de Heus, Kyriakos Psarakis, Marios Fragkoulis, Asterios Katsifodimos. Springer Information Systems 108: 102015 (2022).
DataPerf@NeurIPS'22
Metadata Representations for Queryable ML Model Zoos Ziyu Li, Rihan Hai, Alessandro Bozzon, Asterios Katsifodimos. DataPerf Benchmarking Data for Data-Centric AI, NeurIPS Workshop 2022.
Join Path Based Data Augmentation for Decision Trees Andra Ionescu, Rihan Hai, Marios Fragkoulis, Asterios Katsifodimos. In the Proceedings of the 2022 International workshop on databases and machine learning, colocated with ICDE.
S-Query: Opening the Black Box of Internal Stream Processor State Jim Verheijde, Vassilis Karakoidas, Marios Fragkoulis, Asterios Katsifodimos. In the Proceedings of the 2022 IEEE 38th International Conference on Data Engineering (ICDE).
CIDR '22
Amalur: Next-generation Data Integration in Data Lakes Rihan Hai, Christos Koutras, Andra Ionescu, Asterios Katsifodimos. In the Proceedings of the 13th Annual Conference on Innovative Data Systems Research (CIDR 2022).
Clonos: Consistent Causal Recovery for Highly-Available Streaming Dataflows Pedro Fortunato Silvestre, Marios Fragkoulis, Diomidis Spinellis, Asterios Katsifodimos. In the Proceedings of the 2021 ACM SIGMOD International Conference on the Management of Data.
VLDB '21
Hazelcast Jet: Low-latency Stream Processing at the 99.99th Percentile Can Gencer, Marko Topolnik, Viliam Ďurina, Emin Demirci, Ensar B. Kahveci, Ali Gürbüz Ondřej Lukáš, József Bartók, Grzegorz Gierlach, František Hartman, Ufuk Yılmaz, Mehmet Doğan, Mohamed Mandouh, Marios Fragkoulis, Asterios Katsifodimos. In the Proceedings of the 47th International Conference on Very Large Data Bases (VLDB) 2021.
VLDB '21
Valentine in Action: Matching Tabular Data at Scale Christos Koutras & Kyriakos Psarakis , George Siachamis, Andra Ionescu, Marios Fragkoulis, Angela Bonifati, Asterios Katsifodimos. In the Proceedings of the 47th International Conference on Very Large Data Bases (VLDB) 2021 (Demo track).
ACM TODS '21
Scotty: General and Efficient Open-source Window Aggregation for Stream Processing Systems Jonas Traub, Philipp Marian Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl. In the ACM journal on the Transactions on Database Systems, Volume 46, 2021.
ACM DEBS '21
Distributed Transactions on Serverless Stateful Functions Martijn De Heus, Kyriakos Psarakis, Marios Fragkoulis, Asterios Katsifodimos. Inthe proceedings of the 15th ACM International Conference on Distributed and Event‐based Systems (DEBS) 2021.
ICDE '21
Valentine: Evaluating Matching Techniques for Dataset Discovery Christos Koutras, George Siachamis, Andra Ionescu, Kyriakos Psarakis, Jerry Brons, Marios Fragkoulis, Christoph Lofi, Angela Bonifati, Asterios Katsifodimos. In the Proceedings of the 2021 IEEE International Conference on Data Engineering (ICDE).
SIGMOD '20
Beyond Analytics: The Evolution of Stream Processing Systems Paris Carbone, Marios Fragkoulis, Vasiliki Kalavri, Asterios Katsifodimos. In the Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data (tutorial).
SEAS @EDBT '20
REMA: Graph Embeddings-based Relational Schema Matching Christos Koutras, Marios Fragkoulis, Asterios Katsifodimos, Christoph Lofi. SEA Data workshop colocated with EDBT 2020.
Stateful Functions as a Service in Action Adil Akhter, Marios Fragkoulis, Asterios Katsifodimos. In the Proceedings of the 45th International Conference on Very Large Data Bases (VLDB) 2019 (demo track).
An Intermediate Representation for Optimizing Machine Learning Pipelines Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Sebastian Bress, Tilmann Rabl, Volker Markl. In the Proceedings of the 45th International Conference on Very Large Data Bases (VLDB) 2019.
Operational Stream Processing: Towards Scalable and Consistent Event-Driven Applications Asterios Katsifodimos, Marios Fragkoulis. In the Proceedings of the 22nd International Conference on Extending Database Technology (EDBT) 2019.
Efficient Window Aggregation with General Stream Slicing Jonas Traub, Philipp M. Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl and Volker Markl. In the Proceedings of the 22nd International Conference on Extending Database Technology (EDBT) 2019.
Muses: Distributed Data Migration for Polystores Abdulrahman Kaitoua, Tilmann Rabl, Asterios Katsifodimos, Volker Markl. In the Proceedings of the International Conference on Data Engineering (ICDE) 2019.
Benchmarking Distributed Stream Data Processing Systems Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl. In the Proceedings of the International Conference on Data Engineering (ICDE) 2018.
Scotty: Efficient Window Aggregation for out-of-order Stream Processing Jonas Traub, Philipp Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl. In the Proceedings of the International Conference on Data Engineering (ICDE) 2018.
Stream Window Aggregation Semantics and Optimization Paris Carbone, Asterios Katsifodimos, Seif Haridi. Chapter in the Encyclopedia of Big Data, Springer, 2018.
BlockJoin: Efficient Matrix Partitioning Through Joins Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Tilmann Rabl, Volker Markl. In the Proceedings of the VLDB Endowment, Vol. 10, No. 13 (presented in VLDB 2018).
Optimized On-Demand Data Streaming from Sensor Nodes Jonas Traub, Sebastian Breß, Tilmann Rabl, Asterios Katsifodimos, Volker Markl. In the poceedings of the 8th ACM Symposium on Cloud Computing 2017 (SoCC '17').
Elsevier Big Data Handbook '17
Large-Scale Data Stream Processing Systems Paris Carbone, Gábor E. Gévay, Gábor Hermann, Asterios Katsifodimos, Juan Soto, Volker Markl, Seif Haridi. Book chapter on Large-Scale Data Stream Processing Systems, part of the Handbook of Big Data Technologies 2017 (Elsevier): 219-260.
Cutty: Aggregate Sharing for User-defined Windows Paris Carbone, Jonas Traub, Asterios Katsifodimos, Seif Haridi, Volker Markl. To appear in the 25th ACM International Conference on Information and Knowledge Management (CIKM 2016).
Implicit Parallelism through Deep Language Embedding Alexander Alexandrov, Asterios Katsifodimos, Georgi Krastev, Volker Markl. Published at SIGMOD Record, in the special Issue on the ACM Research Highlights Award, March 2016.
Emma in Action: Declarative Dataflows for Scalable Data Analysis Alexander Alexandrov, Asterios Katsifodimos, Georgi Krastev, Andreas Salzmann, Volker Markl. Accepted for publication in the Proceedings of the ACM SIGMOD International Conference on Management of Data (demo track), June 26th - July 1st 2016, San Fransisco, USA.
Bridging the Gap: Towards Optimizations across Linear and Relational Algebra Andreas Kunft, Alexander Alexandrov, Asterios Katsifodimos, Volker Markl. International Workshop on Algorithms and Systems for MapReduce and Beyond (BeyondMR), in conjunction with SIGMOD/PODS in San Francisco, July 2016.
Apache Flink: Stream and Batch Processing in a Single Engine Paris Carbone, Stephan Ewen, Seif Haridi, Asterios Katsifodimos, Volker Markl, Kostas Tzoumas. IEEE Data Engineering Bulletin, in the special issue on Next-gen Stream Processing (December 2015, Vol. 38 No. 4).
Implicit Parallelism through Deep Language Embedding Alexander Alexandrov, Andreas Kunft, Asterios Katsifodimos, Felix Schüler, Lauritz Thamsen, Odej Kao, Tobias Herb, Volker Markl. In the Proceedings of the ACM SIGMOD International Conference on Management of Data, May 31 - June 4, 2015, Melbourne, VIC, Australia.
Optimistic Recovery for Iterative Dataflows in Action Sergey Dudoladov, Sebastian Schelter, Chen Xu, Asterios Katsifodimos, Stephan Ewen, Kostas Tzoumas, Volker Markl. In the Proceedings of the ACM SIGMOD International Conference on Management of Data (demo track), May 31 - June 4, 2015, Melbourne, VIC, Australia.
Delta: Scalable Data Dissemination under Capacity Constraints K.Karanasos, A. Katsifodimos, I. Manolescu. In the Proceedings of the VLDB Endowment (PVLDB) 2013, Vol.7 No. 4. Also appeared in VLDB 2014, 1-5 September 2014, Hangzhou, China.
The Stratosphere Platform: Big Data Analytics at Scale A. Katsifodimos, J. Soto, V. Markl, K. Tzoumas. European Data Forum, 18-19 March 2014, Athens, Greece.
Delta: Scalable Data Dissemination under Capacity Constraints K. Karanasos, A. Katsifodimos, I. Manolescu. INRIA Research Report (No 8385), October 2013.
Materialized View Selection for XQuery Workloads A. Katsifodimos, I. Manolescu, V. Vassalos. In the Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD '12), May 20-24 2012, Scottsdale, Arizona, USA.
Minersoft: Software Retrieval in Grid and Cloud Computing Infrastructures M. D. Dikaiakos, A. Katsifodimos, G. Pallis. In the ACM Transactions on Internet Technology (ACM TOIT, Volume 12, Number 1, Article 2), July 2012.
ViP2P: Efficient XML Management in DHT Networks K. Karanasos, A. Katsifodimos, I. Manolescu, S. Zoupanos. In the Proceedings of the 12th International Conference on Web Engineering (ICWE '12), July 23-27 2012, Berlin, Germany.
LiquidXML: Adaptive XML Content Redistribution J. Camacho-Rodriguez, A. Katsifodimos, I. Manolescu, A. Roatis. In the Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM '10, demo track), 26-30 October 2010, Toronto Canada.
Searching for Software on the EGEE Infrastructure G. Pallis, A. Katsifodimos, M. D. Dikaiakos. In the Springer Journal of Grid Computing, Volume 8, Number 2, September 2010.
Visualizing the Dynamics of e-Science social networks A. Katsifodimos, J.D Fekete, A. Caddy, C. Germain-Renaud. In the 5th EGEE User Forum, April 12-15, 2010, Uppsala, Sweden.
Minersoft: Searching Software Resources in large-scale Grid and Cloud Infrastructures A. Katsifodimos. Master Thesis, Computer Science Department, University of Cyprus, September 2009.
Effective Keyword search for Software Resources installed in Large-scale Grid Infrastructures G. Pallis, A. Katsifodimos, M.D. Dikaiakos. In the 2009 IEEE/WIC/ACM International Conference on Web Intelligence (WI '09), 15-18 September 2009, Milan Italy.
Harvesting Large-Scale Grids for Software Resources A. Katsifodimos, G. Pallis, M.D. Dikaiakos. In the 9th IEEE International Symposium on Cluster Computing and the Grid (CCGrid '09), May 18-21, 2009. Shanghai, China.
Searching Software Resources in the EGEE Grid A. Katsifodimos, G. Pallis, M.D. Dikaiakos. The 4th EGEE User Forum in conjunction with the Open Grid Forum 25 (OGF), March 2-6, 2009, Catania, Italy.