The paper “Dynamic Graph Databases with Out-of-order Updates”, by Angelos Anadiotis, Ghufran Khan, and Ioana Manolescu has been accepted for publication at PVLDB 2024 (roll-over to the 2025 conference).
The following articles and demonstrations have been accepted for publication at BDA 2024: “Crawling efficace pour l’acquisition des données du Web à grande échelle”
By Antoine Gauquier, Ioana Manolescu, Pierre Senellart
“Un cadre visuel unifié pour l’exploration des données (semi) structurées” (short paper)
By Theo Bouganim, Ioana …
The paper “A Unified Visual Exploration Framework for (Semi -) Structured Data” by Théo Bouganim, Ioana Manolescu, and Emmanuel Pietriga has been accepted for publication in the BigVis 2024 workshop next to VLDB.
The paper “A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning” by Chenghao Lyu, Qi Fan, Philippe Guyard, and Yanlei Diao has been accepted for publication at the International Conference on Very Large Databases (VLDB 2024).
The paper “Client-side and Server-side Tracking on Meta: Effectiveness and Accuracy” by Asmaa El fraihi, Nardjes Amieur, Oana Goga and Walter Rudametkin has been accepted for publication at the Privacy Enhancing Technologies Symposium (PETS 2024).
The paper “Understanding the Privacy Risks of Popular Search Engine Advertising Systems” by Salim Chouaki, Oana Goga, Hamed Haddadi, and Peter Snyder has been accepted for publication at the ACM Internet Measurement Conference 2023.
The paper “FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation” by Kun Zhang, Oana Balalau, Ioana Manolescu has been accepted for publication in Findings of EMNLP 2023.
The paper “Computing Generic Abstractions from Application Datasets” by Nelly Barret,
Ioana Manolescu and Prajna Upadhyay has been accepted for publication in EDBT 2024.
The short paper “User-friendly exploration of highly heterogeneous data lakes” by Nelly Barret, Simon Ebel, Théo Galizzi, Ioana Manolescu and Madhulika Mohanty has been accepted for publication at CoopIS 2023.
The papers
“Computing Generic Abstractions from Application Datasets”
by Nelly Barret, Ioana Manolescu and Prajna Upadhyay
“Evaluating the Factual Faithfulness of Graph-to-Text Generation”
by Kun Zhang, Oana Balalau and Ioana Manolescu
“Scalable Analytics on Multi-Streams Dynamic Graphs”
by Angelos Anadiotis, Muhammad Ghufran Khan and Ioana Manolescu
have been accepted for …
