The paper “Optimization for Active Learning-based Interactive Database Exploration”
by Enhui Huang, Liping Peng, Luciano Di Palma, Ahmed Abdelkafi, Anna Liu, Yanlei Diao
has been accepted for publication in PVLDB 2018.
Main recent results
- PVLDB 2019: “UDAO: A Demonstration of a Next-Generation Unified Data Analytics Optimizer”
- PVLDB 2019: “Spade: A Modular Framework for Analytical Exploration of RDF Graphs”
- SIGMOD 2019: “Towards Scalable Hybrid Stores: Constraint-Based Rewriting to the Rescue”
- ESWC 2019: “Reformulation-based query answering for RDF graphs with RDFS ontologies”
- EDBT 2019: “RDF graph summarization: principles, techniques and applications”
Latest News
- Qi Fan: Multi-Objective Task Scheduling in Mobile Cloud Environments
- Oana Balalau: Explainable recommendations and representation learning in graphs
- Paweł Guzewicz: Guiding Interactive Data Analysis with Context-Sensitive Recommendations
- Damien Graux: Taking the best of two worlds? Semantic Web and analytics with SANSA
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