| 2024 | "Please, Vadalog, tell me why": Interactive Explanation of Datalog-based Reasoning. Teodoro Baldazzi, Luigi Bellomarini, Stefano Ceri, Andrea Colombo, Andrea Gentili, Emanuel Sallinger |
| 2024 | (Privately) Estimating Linkage Quality for Record Linkage. Martin Franke, Victor Christen, Peter Christen, Florens Rohde, Erhard Rahm |
| 2024 | A Differentially Private Guide for Graph Analytics. Felipe T. Brito, André L. C. Mendonça, Javam C. Machado |
| 2024 | A Framework to Evaluate Early Time-Series Classification Algorithms. Charilaos Akasiadis, Evgenios Kladis, Petro-Foti Kamberi, Evangelos Michelioudakis, Elias Alevizos, Alexander Artikis |
| 2024 | A Scalable System for Maritime Route and Event Forecasting. Georgios Grigoropoulos, Giannis Spiliopoulos, Ilias Chamatidis, Manolis Kaliorakis, Alexandros Troupiotis-Kapeliaris, Marios Vodas, Evangelia Filippou, Eva Chondrodima, Nikos Pelekis, Yannis Theodoridis, Dimitris Zissis, Konstantina Bereta |
| 2024 | A new PET for Data Collection via Forms with Data Minimization, Full Accuracy and Informed Consent. Nicolas Anciaux, Sabine Frittella, Baptiste Joffroy, Benjamin Nguyen, Guillaume Scerri |
| 2024 | ActiveDP: Bridging Active Learning and Data Programming. Naiqing Guan, Nick Koudas |
| 2024 | Adaptive Compression for Databases. Leon Windheuser, Christoph Anneser, Huanchen Zhang, Thomas Neumann, Alfons Kemper |
| 2024 | Aion: Efficient Temporal Graph Data Management. Georgios Theodorakis, James Clarkson, Jim Webber |
| 2024 | Analysis of Open Government Datasets From a Data Design and Integration Perspective. Arif Usta, Chang Liu, Semih Salihoglu |
| 2024 | Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data. Danrui Qi, Jinglin Peng, Yongjun He, Jiannan Wang |
| 2024 | BOLD: Knowledge Graph Exploration and Analysis Platform. Egor Dmitriev, Melisachew Wudage Chekol, Mirko Tobias Schäfer |
| 2024 | Balancing Utility and Fairness in Submodular Maximization. Yanhao Wang, Yuchen Li, Francesco Bonchi, Ying Wang |
| 2024 | Benchmarking Stream Join Algorithms on GPUs: A Framework and its Application to the State-of-the-art. Dwi P. A. Nugroho, Philipp M. Grulich, Steffen Zeuch, Clemens Lutz, Stefano Bortoli, Volker Markl |
| 2024 | Breaking Down Accuracy with Subspace Optimization. Donatella Firmani, Giorgio Grani, Flavia Tagliafierro |
| 2024 | Bridging the Gap: Complex Event Processing on Stream Processing Systems. Ariane Ziehn, Philipp M. Grulich, Steffen Zeuch, Volker Markl |
| 2024 | CSR+: A Scalable Efficient CoSimRank Search Algorithm with Multi-Source Queries on Massive Graphs. Maoyin Zhang, Weiren Yu |
| 2024 | Community Similarity based on User Profile Joins. Konstantinos Theocharidis, Hady W. Lauw |
| 2024 | Computing Generic Abstractions from Application Datasets. Nelly Barret, Ioana Manolescu, Prajna Upadhyay |
| 2024 | Crayfish: Navigating the Labyrinth of Machine Learning Inference in Stream Processing Systems. Sonia Horchidan, Po Hao Chen, Emmanouil Kritharakis, Paris Carbone, Vasiliki Kalavri |
| 2024 | DSPC: Efficiently Answering Shortest Path Counting on Dynamic Graphs. Qingshuai Feng, You Peng, Wenjie Zhang, Xuemin Lin, Ying Zhang |
| 2024 | Data Coverage for Detecting Representation Bias in Image Datasets: A Crowdsourcing Approach. Melika Mousavi, Nima Shahbazi, Abolfazl Asudeh |
| 2024 | Data-CASE: Grounding Data Regulations for Compliant Data Processing Systems. Vishal Chakraborty, Stacy Ann-Elvy, Sharad Mehrotra, Faisal Nawab, Mohammad Sadoghi, Shantanu Sharma, Nalini Venkatasubramanian, Farhan Saeed |
| 2024 | Dataset Discovery and Exploration: State-of-the-art, Challenges and Opportunities. Norman W. Paton, Zhenyu Wu |
| 2024 | Deco: Fast and Accurate Decentralized Aggregation of Count-Based Windows in Large-Scale IoT Applications. Wang Yue, Rafael Moczalla, Manisha Luthra, Tilmann Rabl |
| 2024 | Deep Clustering for Data Cleaning and Integration. Hafiz Tayyab Rauf, André Freitas, Norman W. Paton |
| 2024 | Demonstration of Link Traversal SPARQL Query Processing over the Decentralized Solid Environment. Ruben Taelman, Ruben Verborgh |
| 2024 | DriftLens: A Concept Drift Detection Tool. Salvatore Greco, Bartolomeo Vacchetti, Daniele Apiletti, Tania Cerquitelli |
| 2024 | EMBA: Entity Matching using Multi-Task Learning of BERT with Attention-over-Attention. Jing Zhang, Huan Sun, Joyce C. Ho |
| 2024 | Efficient Discovery of Temporal Inclusion Dependencies in Wikipedia Tables. Leon Bornemann, Tobias Bleifuß, Dmitri V. Kalashnikov, Fatemeh Nargesian, Felix Naumann, Divesh Srivastava |
| 2024 | Efficient Proximity Search in Time-accumulating High-dimensional Data using Multi-level Block Indexing. Changhun Han, Suji Kim, Ha-Myung Park |
| 2024 | Efficient Semantic Similarity Search over Spatio-textual Data. George S. Theodoropoulos, Kjetil Nørvåg, Christos Doulkeridis |
| 2024 | Evaluating the Impact of Error-Bounded Lossy Compression on Time Series Forecasting. Carlos Enrique Muñiz-Cuza, Søren Kejser Jensen, Jonas Brusokas, Nguyen Ho, Torben Bach Pedersen |
| 2024 | Evaluation of Sampling Methods for Discovering Facts from Knowledge Graph Embeddings. Rama Widyadhana Bhagaskoro, Volker Markl, Zoi Kaoudi |
| 2024 | Exploring unsupervised anomaly detection for vehicle predictive maintenance with partial information. Apostolos Giannoulidis, Anastasios Gounaris, Ioannis Constantinou |
| 2024 | FACT-DM: A Framework for Automated Cost-Based Data Model Transformation. Jihane Mali, Shohreh Ahvar, Faten Atigui, Ahmed Azough, Nicolas Travers |
| 2024 | FALCC: Efficiently performing locally fair and accurate classifications. Nico Lässig, Melanie Herschel |
| 2024 | Fair Spatial Indexing: A paradigm for Group Spatial Fairness. Sina Shaham, Gabriel Ghinita, Cyrus Shahabi |
| 2024 | Finding Relevant Information in Big Datasets with ML. Uchechukwu F. Njoku, Alberto Abelló, Besim Bilalli, Gianluca Bontempi |
| 2024 | Fine-Grained Geo-Obfuscation to Protect Workers' Location Privacy in Time-Sensitive Spatial Crowdsourcing. Chenxi Qiu, Sourabh Yadav, Yuede Ji, Anna Cinzia Squicciarini, Ram Dantu, Juanjuan Zhao, Cheng-Zhong Xu |
| 2024 | Frequent Component Analysis for Large Time Series Databases with Gaussian Processes. Jan David Hüwel, Christian Beecks |
| 2024 | GMSA: A Digital Twin Application for Maritime Route and Event Forecasting. Georgios Grigoropoulos, Giannis Spiliopoulos, Ilias Chamatidis, Manolis Kaliorakis, Alexandros Troupiotis-Kapeliaris, Marios Vodas, Evangelia Filippou, Eva Chondrodima, Nikos Pelekis, Yannis Theodoridis, Dimitris Zissis, Konstantina Bereta |
| 2024 | GSim+: Efficient Retrieval of Node-to-Node Similarity Across Two Graphs at Billion Scale. Ruby Zhang, Weiren Yu |
| 2024 | GizaML: A Collaborative Meta-learning Based Framework Using LLM For Automated Time-Series Forecasting. Esraa Sayed, Mohamed Maher, Omar Sedeek, Ahmed Eldamaty, Amr Kamel, Radwa El Shawi |
| 2024 | GraphSUM: Scalable Graph Summarization for Efficient Question Answering. Nasrin Shabani, Amin Beheshti, Jia Wu, Maryam Khanian Najafabadi, Jin Foo, Alireza Jolfaei |
| 2024 | HEADWORK: a Data-centric Crowdsourcing Platform for Complex Tasks and Participants. David Gross-Amblard, Marion Tommasi, Iandry Rakotoniaina, Constance Thierry, Rituraj Singh, Leo Jacoboni |
| 2024 | HINT on Steroids: Batch Query Processing for Interval Data. Panagiotis Bouros, Artur Titkov, George Christodoulou, Christian Rauch, Nikos Mamoulis |
| 2024 | How to Make your Duck Fly: Advanced Floating Point Compression to the Rescue. Panagiotis Liakos, Katia Papakonstantinopoulou, Thijs Bruineman, Mark Raasveldt, Yannis Kotidis |
| 2024 | In-Network Approximate and Efficient Spatiotemporal Range Queries on Moving Objects. Guang Yang, Abhirup Ghosh, Liang Liang, Thomas Heinis |
| 2024 | Interactive Graph Repairs for Neighborhood Constraints. Paul Juillard, Angela Bonifati, Andrea Mauri |
| 2024 | Learning over Sets for Databases. Angjela Davitkova, Damjan Gjurovski, Sebastian Michel |
| 2024 | Logica: Declarative Data Science for Mere Mortals. Evgeny S. Skvortsov, Yilin Xia, Bertram Ludäscher |
| 2024 | Loss Compensation in Multi-Session Recommendation Under Limited Availability. Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Sihem Amer-Yahia |
| 2024 | MAGNETO: Edge AI for Human Activity Recognition - Privacy and Personalization. Jingwei Zuo, George Arvanitakis, Mthandazo Ndhlovu, Hakim Hacid |
| 2024 | MCF-KV: Multi-Cuckoo-Filter Index based Key-Value Store with Persistent Memory. Hongjia Zou, Lidan Shou, Ke Chen, Xuan Zhou |
| 2024 | MEOS: An Open Source Library for Mobility Data Management. Esteban Zimányi, Mariana M. G. Duarte, Víctor Diví |
| 2024 | MIP: Advanced Data Processing and Analytics for Science and Medicine. Kostas Filippopolitis, Yannis Foufoulas, Minos N. Garofalakis, Apostolos Glenis, Yannis E. Ioannidis, Thanasis-Michail Karampatsis, Maria-Olympia Katsouli, Evdokia Mailli, Asimakis Papageorgiou-Mariglis, Giorgos Papanikos, George Pikramenos, Jason Sakellariou, Alkis Simitsis, Pauline Ducouret, Philippe Ryvlin, Manuel-Guy Spuhler |
| 2024 | MM-evoque: Query Synchronisation in Multi-Model Databases. Pavel Koupil, Jáchym Bártík, Irena Holubová |
| 2024 | MyRaft: High Availability in MySQL using Raft. Anirban Rahut, Vinaykumar Bhat, Abhinav Sharma, Yichen Shen, Bartlomiej Pelc, Chi Li, Ahsanul Haque, Yash Botadra, Xi Wang, Michael Percy, Ritwik Yadav, Yoshinori Matsunobu, Alan Liang, Igor Pozgaj, Tobias Asplund, Anatoly Karp, Luqun Lou, Pushap Goyal |
| 2024 | NeoSGG: A Scene Graph Generation Framework for Video-Surveillance Tasks. Pierre Lefebvre, Steven Le Moal, Ahmed Azough, Nicolas Travers |
| 2024 | ORTOA: A Family of One Round Trip Protocols For Operation-Type Obliviousness. Sujaya Maiyya, Yuval Steinhart, Adrian Davila, Jason Du, Divyakant Agrawal, Prabhanjan Ananth, Amr El Abbadi |
| 2024 | Optimizing Counterfactual-based Analysis of Machine Learning Models Through Databases. Aviv Ben-Arie, Daniel Deutch, Nave Frost, Yair Horesh, Idan Meyuhas |
| 2024 | Optimizing Goodput through Sharing for Batch Analytics with Deadlines. Srinivas Karthik, Panagiotis Sioulas, Ahana Pradhan, Raghunandan Subramanya, Ioannis Mytilinis, Anastasia Ailamaki |
| 2024 | Patterns of Life : Global Inventory for maritime mobility patterns. Giannis Spiliopoulos, Marios Vodas, Georgios Grigoropoulos, Konstantina Bereta, Dimitris Zissis |
| 2024 | Performance Analysis of Distributed GPU-Accelerated Task-Based Workflows. Marcos N. L. Carvalho, Anna Queralt, Oscar Romero, Alkis Simitsis, Cristian Tatu, Rosa M. Badia |
| 2024 | Predicting Fact Contributions from Query Logs with Machine Learning. Dana Arad, Daniel Deutch, Nave Frost |
| 2024 | Private and Efficient Federated Numerical Aggregation. Graham Cormode, Igor L. Markov, Harish Srinivas |
| 2024 | Proceedings 27th International Conference on Extending Database Technology, EDBT 2024, Paestum, Italy, March 25 - March 28. Letizia Tanca, Qiong Luo, Giuseppe Polese, Loredana Caruccio, Xavier Oriol, Donatella Firmani |
| 2024 | PyFroid: Scaling Data Analysis on a Commodity Workstation. K. Venkatesh Emani, Avrilia Floratou, Carlo Curino |
| 2024 | Pythagoras: Semantic Type Detection of Numerical Data in Enterprise Data Lakes. Sven Langenecker, Christoph Sturm, Christian Schalles, Carsten Binnig |
| 2024 | QPSeeker: An Efficient Neural Planner combining both data and queries through Variational Inference. Christos Tsapelas, Georgia Koutrika |
| 2024 | Querying For Actions Over Videos. Daren Chao, Nick Koudas |
| 2024 | Querying Large Language Models with SQL. Mohammed Saeed, Nicola De Cao, Paolo Papotti |
| 2024 | Relational Data Imputation with Graph Neural Networks. Riccardo Cappuzzo, Saravanan Thirumuruganathan, Paolo Papotti |
| 2024 | SAGED: Few-Shot Meta Learning for Tabular Data Error Detection. Mohamed Abdelaal, Tim Ktitarev, Daniel Städtler, Harald Schöning |
| 2024 | Seraph: Continuous Queries on Property Graph Streams. Christopher Rost, Riccardo Tommasini, Angela Bonifati, Emanuele Della Valle, Erhard Rahm, Keith W. Hare, Stefan Plantikow, Petra Selmer, Hannes Voigt |
| 2024 | Serving Deep Learning Models from Relational Databases. Lixi Zhou, Qi Lin, Kanchan Chowdhury, Saif Masood, Alexandre E. Eichenberger, Hong Min, Alexander Sim, Jie Wang, Yida Wang, Kesheng Wu, Binhang Yuan, Jia Zou |
| 2024 | Shapley Values for Explanation in Two-sided Matching Applications. Suraj Shetiya, Ian P. Swift, Abolfazl Asudeh, Gautam Das |
| 2024 | Similarity Measures For Incomplete Database Instances. Boris Glavic, Giansalvatore Mecca, Renée J. Miller, Paolo Papotti, Donatello Santoro, Enzo Veltri |
| 2024 | Similarity Search based on Geo-footprints. Achilleas Michalopoulos, Konstantinos Lampropoulos, George Kelantonakis, Chrysostomos Zeginis, Kostas Magoutis, Nikos Mamoulis |
| 2024 | Size-bounded Community Search over Large Bipartite Graphs. Yuting Zhang, Kai Wang, Wenjie Zhang, Wei Ni, Xuemin Lin |
| 2024 | Spatial-temporal Forecasting for Regions without Observations. Xinyu Su, Jianzhong Qi, Egemen Tanin, Yanchuan Chang, Majid Sarvi |
| 2024 | Stateful Entities: Object-oriented Cloud Applications as Distributed Dataflows. Kyriakos Psarakis, Wouter Zorgdrager, Marios Fragkoulis, Guido Salvaneschi, Asterios Katsifodimos |
| 2024 | TASHEEH: Repairing Row-Structure in Raw CSV Files. Mazhar Hameed, Gerardo Vitagliano, Fabian Panse, Felix Naumann |
| 2024 | TaC: An Anti-Caching Key-Value Store on Heterogeneous Memory Architectures. Yunhong Ji, Wentao Huang, Xuan Zhou, Bingsheng He, Kian-Lee Tan |
| 2024 | The Missing Link? On the In-Between Instance Detection Task. Daniyal Kazempour, Claudius Zelenka, Peer Kröger |
| 2024 | WDC Products: A Multi-Dimensional Entity Matching Benchmark. Ralph Peeters, Reng Chiz Der, Christian Bizer |
| 2024 | WaZI: A Learned and Workload-aware Z-Index. Sachith Pai, Michael Mathioudakis, Yanhao Wang |