Silviu Maniu
Publications
Publications
Data stream analysis: Foundations, major tasks and toolsWiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2021, 11 (3), pp.e1405. ⟨10.1002/widm.1405⟩ |
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Algorithms for Online Influencer MarketingACM Transactions on Knowledge Discovery from Data (TKDD), 2019, 13 (1), pp.1-30. ⟨10.1145/3274670⟩ |
Hypervolume Subset Selection with Small SubsetsEvolutionary Computation, 2019, 27 (4), pp.611-637. ⟨10.1162/evco_a_00235⟩ |
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ProvSQL: Provenance and Probability Management in PostgreSQLProceedings of the VLDB Endowment (PVLDB), 2018, 11 (12), pp.2034-2037. ⟨10.14778/3229863.3236253⟩ |
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An Indexing Framework for Queries on Probabilistic GraphsACM Transactions on Database Systems, 2017, pp.1 - 34. ⟨10.1145/3044713⟩ |
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Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory DataIEEE Transactions on Knowledge and Data Engineering, 2016, 28 (3), pp.785 - 800. ⟨10.1109/TKDE.2015.2492561⟩ |
Guest Editorial: Special Issue on Databases and CrowdsourcingDistributed and Parallel Databases, 2015, 33 (1), pp.1-2 |
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Intensional Data on the WebACM SIGWEB Newsletter, 2015, pp.12 |
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Recherche top-k dépendant d'un contexte à l'aide de vuesRevue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, 2013, 18 (4), pp.109-144 |
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Optimizing Source Selection for Tuple-Value DiscoveryInternational Workshop on Tabular Data Analysis (TaDA@VLDB 2025), Sep 2025, London, United Kingdom |
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Database Theory in Action: Making Provenance and Probabilistic Database Theory Work in Practice (Invited Talk)ICDT 2025 - International Conference on Database Theory, Mar 2025, Barcelona, Spain. ⟨10.4230/LIPIcs.ICDT.2025.35⟩ |
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ProvSQL: A General System for Keeping Track of the Provenance and Probability of DataICDE 2026 - 42nd IEEE International Conference on Data Engineering, May 2026, Montréal, Canada |
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Towards Reliable Conversational Data Analytics2025 EDBT/ICDT 2025 Joint Conference, Mar 2025, Barcelona, Spain |
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Everything, everywhere, all at once: is mechanistic interpretability identifiable?The Thirteenth International Conference on Learning Representations, Apr 2025, Singapore, Singapore |
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Optimizing Diverse Information Exposure in Social GraphsBigData 2024 - IEEE International Conference on Big Data, Dec 2024, Washington, United States. pp.519-528, ⟨10.1109/BigData62323.2024.10825032⟩ |
Sequential Learning Algorithms for Contextual Model-Free Influence MaximizationKDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, ACM, Aug 2023, Long Beach, United States. pp.822 - 831, ⟨10.1145/3580305.3599498⟩ |
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Social Influence-Maximizing Group Recommendation17th International AAAI Conference on Web and Social Media (ICWSM 2023), AAAI, Jun 2023, Limassol, Cyprus. pp.820-831, ⟨10.1609/icwsm.v17i1.22191⟩ |
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Efficient Provenance-Aware Querying of Graph Databases with DatalogGRADES-NDA 2022 - Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), Jun 2022, Philadelphia, United States |
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Contextual Bandits for Advertising Campaigns: A Diffusion-Model Independent ApproachSIAM International Conference on Data Mining, SIAM, Apr 2022, Alexandria, Virginia, United States. pp.513-521, ⟨10.1137/1.9781611977172.58⟩ |
Leveraging Contextual Graphs for Stochastic Weight Completion in Sparse Road NetworksProceedings of the 2022 SIAM International Conference on Data Mining, Apr 2022, Alexandria, VA, USA, United States. pp.64-72, ⟨10.1137/1.9781611977172.8⟩ |
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Provenance-Based Algorithms for Rich Queries over Graph DatabasesEDBT 2021 - 24th International Conference on Extending Database Technology, Mar 2021, Nicosia / Virtual, Cyprus |
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Survey on Feature Transformation Techniques for Data StreamsIJCAI-PRICAI 2020 - 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence, Jan 2021, Yokohama / Virtual, Japan. pp.4796-4802, ⟨10.24963/ijcai.2020/668⟩ |
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Algorithmes à base de provenance pour des requêtes enrichies sur les bases de données graphesBDA 2020 - 36ème Conférence sur la Gestion de Données – Principes, Technologies et Applications, Oct 2020, Paris / Virtuel, France |
Bandits Under the Influence2020 IEEE International Conference on Data Mining (ICDM), Nov 2020, Sorrento, Italy. pp.1172-1177, ⟨10.1109/ICDM50108.2020.00144⟩ |
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Efficient Batch-Incremental Classification Using UMAP for Evolving Data StreamsIDA 2020 - 18th International Symposium on Intelligent Data Analysis, Apr 2020, Konstanz / Virtual, Germany. pp.40-53, ⟨10.1007/978-3-030-44584-3_4⟩ |
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Compressed k-Nearest Neighbors Ensembles for Evolving Data StreamsECAI 2020 - 24th European Conference on Artificial Intelligence, Aug 2020, Santiago de Compostella / Virtual, Spain. pp.961-968, ⟨10.3233/FAIA200189⟩ |
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CS-ARF: Compressed Adaptive Random Forests for Evolving Data Stream ClassificationIJCNN 2020 - International Joint Conference on Neural Networks, Jul 2020, Glasgow / Virtual, United Kingdom. pp.1-8, ⟨10.1109/IJCNN48605.2020.9207188⟩ |
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An Experimental Study of the Treewidth of Real-World Graph DataICDT 2019 – 22nd International Conference on Database Theory, Mar 2019, Lisbon, Portugal. pp.18, ⟨10.4230/LIPIcs.ICDT.2019.12⟩ |
Adaptive Influence MaximizationKDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Jul 2019, Anchorage, United States. pp.3185-3186, ⟨10.1145/3292500.3332285⟩ |
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Scalable Evaluation of k-NN Queries on Large Uncertain Graphs21st International Conference on Extending Database Technology (EDBT), Mar 2018, Vienna, Austria. ⟨10.5441/002/edbt.2018.17⟩ |
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Semiring Provenance over Graph Databases10th USENIX Workshop on the Theory and Practice of Provenance (TaPP 2018), Jul 2018, London, United Kingdom |
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A Sketch-Based Naive Bayes Algorithms for Evolving Data Streams2018 IEEE International Conference on Big Data (Big Data), Dec 2018, Seattle, United States. pp.604-613, ⟨10.1109/BigData.2018.8622178⟩ |
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Effective Large-Scale Online Influence MaximizationICDM 2017 - IEEE International Conference on Data Mining, Nov 2017, New Orleans, United States. ⟨10.1109/ICDM.2017.118⟩ |
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Challenges for Efficient Query Evaluation on Structured Probabilistic DataSUM 2016 - 10th International Conference Scalable Uncertainty Management, Sep 2016, Nice, France. pp.323-330, ⟨10.1007/978-3-319-45856-4_22⟩ |
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Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory Data (Extended abstract)International Conference on Data Engineering (ICDE), May 2016, Helsinki, Finland. pp.1528-1529, ⟨10.1109/ICDE.2016.7498408⟩ |
Snooping Wikipedia Vandals with MapReduceIEEE ICC, Feb 2015, London, United Kingdom |
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Online Influence MaximizationKDD, Aug 2015, Sydney, Australia. pp.645-654 |
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StreamDM: Advanced Data Mining in Spark StreamingInternational Conference on Data Mining Workshops (ICDMW), IEEE, Nov 2015, Atlantic City, NJ, United States. ⟨10.1109/ICDMW.2015.140⟩ |
Discovering Meta-Paths in Large Heterogeneous Information NetworksWWW, May 2015, Florence, Italy |
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ProbTree: A Query-Efficient Representation of Probabilistic GraphsBUDA (Big Uncertain Data), Jun 2014, Snowbird, United States |
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Quantifying trust dynamics in signed graphs, the S-Cores approachSDM 2014 - 14th SIAM International Conference on Data Mining, Aug 2014, Philadelphia, United States. pp.668-676, ⟨10.1137/1.9781611973440.77⟩ |
Scalable, Generic, and Adaptive Systems for Focused CrawlingHyperText, Sep 2014, Santiago, Chile. pp.35-45 |
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Context-Aware Top-k Processing using ViewsACM Conference on Information And Knowledge Management (CIKM), Oct 2013, San Francisco, United States. pp.1959-1968, ⟨10.1145/2505515.2505759⟩ |
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Network-aware Search in Social Tagging Applications: Instance Optimality versus EfficiencyACM Conference on Information And Knowledge Management (CIKM), Oct 2013, San Francisco, United States. pp.939-948, ⟨10.1145/2505515.2505760⟩ |
Taagle: Efficient, Personalized Search in Collaborative Tagging Networks (demonstration)ACM SIGMOD International Conference on Management of Data, SIGMOD 2012, May 2012, Scottsdale, United States. pp.661-664 |
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Building a signed network from interactions in WikipediaFirst ACM SIGMOD Workshop on Databases and Social Networks (DBSocial), Jun 2011, Athens, Greece. pp.6 |
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Algorithme top-k pour la recherche d'information dans les réseaux sociaux27-èmes journées Bases de Données Avancées (BDA'11),, Oct 2011, Rabat, Maroc |
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A Practical Dynamic Programming Approach to Datalog Provenance Computation2021 |
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An Experimental Study of the Treewidth of Real-World Graph Data (Extended Version)2019 |
Context-Aware Top-k Processing using Views (Extended Version)[Research Report] 0, Telecom ParisTech. 2012 |
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Data management in social networksSocial and Information Networks [cs.SI]. Télécom ParisTech, 2012. English. ⟨NNT : 2012ENST0053⟩ |
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Graphs and UncertaintyInformation Retrieval [cs.IR]. Université Paris Saclay, 2022 |