إصدارات 2002-2026

• 2026
  • N. Bame, H. Naacke, A. Boly : “TRADINEXT : A MLP based Approach for Next POI Recommendation using Transition and Collaborative Filtering Models with Temporal Context”, (2026)
• 2025
  • S. Jarrad, H. Naacke, S. Gançarski : “SISIS: Sequence Indexing for SImilarity Search”, chapter in Transactions on Large-Scale Data- and Knowledge-Centered Systems LIX: Special Issue on Data Management - Principles, Technologies, and Applications, vol. 16240, Lecture Notes in Computer Science, pp. 32-60, (Springer Berlin Heidelberg), (ISBN: 978-3-662-72449-1) (2025)
  • A. Boutaleb, B. Amann, H. Naacke, R. Angarita : “Something’s Fishy In The Data Lake: A Critical Re-evaluation of Table Union Search Benchmarks”, 4^th Table Representation Learning Workshop @ ACL 2025, Vienne, Austria, pp. 71-85, (Association for Computational Linguistics), (ISBN: 979-8-89176-268-8) (2025)
  • A. Boutaleb, A. Almutawa, B. Amann, R. Angarita, H. Naacke : “HEARTS: HypErgrAph-based Related Table Search”, ELLIS workshop on Representation Learning and Generative Models for Structured Data, Amsterdam, Netherlands (2025)
• 2024
  • S. Jarrad, H. Naacke, S. Gançarski : “Top-k on Sequences: A New Approach to Enhanced Similarity Search”, International Conference on Information Integration and Web Intelligence (iiWAS), Bratislava, Slovakia (2024)
  • H. Rahimi, H. Naacke, C. Constantin, B. Amann : “ANTM: Aligned Neural Topic Models for Exploring Evolving Topics”, chapter in Transactions on Large-Scale Data- and Knowledge-Centered Systems LVI: Special Issue on Data Management - Principles, Technologies, and Applications, vol. 14790, Lecture Notes in Computer Science (TLDKS), pp. 76-97, (Springer Berlin Heidelberg), (ISBN: 978-3-662-69603-3) (2024)
  • H. Rahimi, J. Hoover, D. Mimno, H. Naacke, C. Constantin, B. Amann : “Contextualized Topic Coherence Metrics”, Findings of the Association for Computational Linguistics: EACL 2024, St. Julian's, Malta, pp. 1760-1773, (Association for Computational Linguistics) (2024)
  • H. Rahimi, H. Naacke, C. Constantin, B. Amann : “ATEM: A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives”, Studies in Computational Intelligence, vol. 1143, Studies in Computational Intelligence, Menton, France, pp. 332-343, (Springer Nature Switzerland), (ISBN: 978-3-031-53472-0) (2024)
  • H. Naacke, N. Curé, O. Curé : “PCCMerge: a parallel method based on merging partial connected components in large graphs”, IEEE BigData Next-Generation Big Graph Learning and Analytics (Next-Gen-BiGLA), Washington D.C., United States, pp. 4068-4077, (IEEE) (2024)
  • Y. Bai, C. Constantin, H. Naacke : “Leiden-Fusion Partitioning Method for Effective Distributed Training of Graph Embeddings”, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Vilnius (Lituanie), Lithuania (2024)
• 2023
  • S. Jarrad, H. Naacke, S. Gançarski, M. Gueye : “Embedding-Enhanced Similarity Metrics for Next POI Recommendation”, Proceedings of the 12^th International Conference on Data Science, Technology and Applications DATA, vol. 1, Rome, Italy, pp. 247-254, (SciTePress - Science and Technology Publications), (ISBN: 978-989-758-664-4) (2023)
  • N. Bame, I. Gueye, H. Naacke : “Geo-Semantic Event-POI Matching of Large Mobility Datasets”, Proceedings of the 12^th International Conference on Data Science, Technology and Applications DATA, vol. 1, Rome, Italy, pp. 496-503, (SciTePress - Science and Technology Publications), (ISBN: 978-989-758-664-4) (2023)
  • H. Rahimi, H. Naacke, C. Constantin, B. Amann : “ANTM: An Aligned Neural Topic Model for Exploring Evolving Topics”, (2023)
  • H. Rahimi, H. Naacke, C. Constantin, B. Amann : “ATEM: A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives”, (2023)
  • H. Rahimi, J. Hoover, D. Mimno, H. Naacke, C. Constantin, B. Amann : “Contextualized Topic Coherence Metrics”, (2023)
• 2022
  • M. Fopa, M. Gueye, S. Ndiaye, H. Naacke : “A parameter-free KNN for rating prediction”, Data and Knowledge Engineering, (Elsevier) (2022)
  • J. Fopa, M. Gueye, S. Ndiaye, H. Naacke : “Une méthode KNN sans paramètre pour prédire les notes des utilisateurs”, Conférence francophone sur l'Extraction et la Gestion des Connaissances (EGC), vol. RNTI-E-38, Revue des Nouvelles Technologies de l'Information, Blois, France, pp. 183-194, (RNTI) (2022)
  • I. Gueye, H. Naacke, I. Sarr, L. Bouzid Khiri, S. Gançarski : “Malaria Control: Epidemic Progression Calculation Based on Individual Mobility Data”, chapter in Simulation and Modeling Methodologies, Technologies and Applications. Revised Selected Papers., vol. 306, Lecture Notes in Networks and Systems, pp. 156-183, (Springer International Publishing), (ISBN: 978-3-030-84811-8) (2022)
• 2021
  • K. Li, H. Naacke, B. Amann : “An Analytic Graph Data Model and Query Language for Exploring the Evolution of Science”, Big Data Research, vol. 26, pp. 100247, (Elsevier) (2021)
• 2020
  • K. Li, H. Naacke, B. Amann : “EPIQUE: A Graph Data Model and Query Language for Exploring the Evolution of Science”, BDA 2020 : 36^e Conférence sur la Gestion de Données – Principes, Technologies et Applications., Paris (virtual), France (2020)
  • I. Gueye, H. Naacke, S. Gançarski : “Enriching Geolocalized Dataset with POIs Descriptions at Large Scale”, Innovations and Interdisciplinary Solutions for Underserved Areas, vol. 321, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Nairobi, Kenya, pp. 264-273, (Springer International Publishing), (ISBN: 978-3-030-51051-0) (2020)
  • L. Khiri, I. Gueye, H. Naacke, I. Sarr, S. Gançarski : “A Malaria Control Model using Mobility Data: An Early Explanation of Kedougou Case in Senegal”, 10^th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, on-line, France, pp. 35-46, (SciTePress) (2020)
  • K. Li, H. Naacke, B. Amann : “EPIQUE: Extracting Meaningful Science Evolution Patterns from Large Document Archives”, International Conference on Extending Database Technology (EDBT), Copenhagen, Denmark (2020)
  • K. Li, H. Naacke, B. Amann : “Exploring the Evolution of Science with Pivot Topic Graphs”, International Workshop on Big Data Visual Exploration and Analytics BigVis at EDBT 2020, Copenhague, Denmark (2020)
  • H. Naacke, O. Curé : “On Distributed SPARQL Query Processing Using Triangles of RDF Triples”, Open Journal Of Semantic Web, vol. 7 (1), pp. 17-32, (Research Online Publishing (RonPub)) (2020)
  • I. Gueye, H. Naacke, S. Gançarski : “Enriching geolocalized dataset with POIs descriptions at large scale”, Conference on Research in Computer Science and its Applications, Bambey, Senegal (2020)
• 2019
  • H. Naacke, K. Li, B. Amann, O. Curé : “Efficient similarity-based alignment of temporally-situated graph nodes with Apache Spark”, IEEE International Conference on Big Data, High Performance Big Graph Data Management, Analysis, and Mining, Los Angeles, CA, United States, pp. 4793-4798, (IEEE), (ISBN: 978-1-7281-0858-2) (2019)
  • O. Curé, W. Xu, H. Naacke, Ph. Calvez : “Extending LiteMat toward RDFS++”, KGB-LASCAR 2019 - Knowledge Graph Building and Large Scale RDF Analytics, vol. 2489, CEUR Workshop Proceedings, Portoroz, Slovenia, pp. 54-64, (ceur-ws.org) (2019)
• 2018
  • J.‑B. Griesner, T. Abdessalem, H. Naacke, P. Dosne : “ALGeoSPF: A Hierarchical Factorization Model for POI Recommendation”, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, pp. 87-90 (2018)
  • X. Ren, O. Curé, H. Naacke, G. Xiao : “RDF Stream Reasoning via Answer Set Programming on Modern Big Data”, ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks, vol. 2180, Monterey, CA, United States, pp. 51, (ceur-ws.org) (2018)
  • B. Amann, O. Curé, H. Naacke : “Distributed SPARQL Query Processing: a Case Study with Apache Spark”, chapter in NoSQL Data Models: Trends and Challenges, vol. 1, (Wiley), (ISBN: 9781119528227) (2018)
  • J.‑B. Griesner, T. Abdessalem, H. Naacke, P. Dosne : “ALGeoSPF: Un modèle de factorisation basé sur du clustering géographique pour la recommandation de POI”, Extraction et Gestion de Connaissances (EGC'2018), Saint Denis, France, pp. 12 (2018)
  • X. Ren, O. Curé, H. Naacke, G. Xiao : “BigSR: real-time expressive RDF stream reasoning on modern Big Data platforms”, IEEE International Conference on Big Data, Seatle, WA, United States, pp. 811-820 (2018)
• 2017
  • H. Naacke, B. Amann, O. Curé : “SPARQL Graph Pattern Processing with Apache Spark”, GRADES (Graph Data-management Experiences & Systems), Workshop, SIGMOD 2017, Chicago, United States, pp. 1-7 (2017)
  • J.‑B. Griesner, T. Abdessalem, H. Naacke : “Un Modèle de Factorisation de Poisson pour la Recommandation de Points d’Intérêt”, 17^e Journées Francophones Extraction et Gestion des Connaissances (EGC 2017), Grenoble, France, pp. 411-416 (2017)
  • X. Ren, O. Curé, H. Naacke, J. Lhez, K. Li : “Strider R: Massive and Distributed RDF Graph Stream Reasoning”, IEEE International Conference on Big Data, Boston, United States, pp. 3358-3367, (IEEE) (2017)
  • H. Naacke, J.‑B. Griesner, T. Abdessalem, P. Dosne : “ALGeoSPF: A Hierarchical Geographical Factorization Model for POI Recommendation”, Journées Bases de Données Avancées (BDA), Nancy, France, pp. 11 (2017)
• 2016
  • H. Naacke, O. Curé, B. Amann : “SPARQL query processing with Apache Spark”, Journées Bases de Données Avancées (BDA 2016), Poitiers, France, pp. 24-25 (2016)
  • S. Castillo, H. Naacke, B. Amann, D. Chavalarias : “Exploring the evolution of science through interactive phylomemetic topic maps”, 32^e Conférence sur la Gestion de Données - BDA2016, Poitiers, France (2016)
  • J.‑B. Griesner, T. Abdessalem, H. Naacke : “Intégration des Influences Géographique et Temporelle pour la Recommandation de Points d’Intérêt”, Extraction et Gestion des Connaissances, vol. RNTI-E-30, RNTI, Reims, France, pp. 153-158 (2016)
• 2015
  • O. Curé, H. Naacke, T. Randriamalala, B. Amann : “LiteMat: A scalable, cost-efficient inference encoding scheme for large RDF graphs”, 2015 IEEE International Conference on Big Data (Big Data), Santa Clara, CA, United States, pp. 1823-1830, (IEEE) (2015)
  • N. Bame, H. Naacke, I. Sarr, S. Ndiaye : “Optimisation de requêtes dynamiques pour l’analyse de la biodiversité”, Revue Africaine de Recherche en Informatique et Mathématiques Appliquées, vol. Volume 21 - 2015 - Special issue - CARI 2014, pp. 21-47, (African Society in Digital Science) (2015)
  • O. Curé, H. Naacke, M.‑A. Baazizi, B. Amann : “HAQWA: a Hash-based and Query Workload Aware Distributed RDF Store”, The 14^th International Semantic Web Conference, ISWC 2015, vol. 1486, CEUR Workshop Proceedings, Bethlehem, Pennsylvania, United States, (CEUR-WS.org) (2015)
  • O. Curé, H. Naacke, M.‑A. Baazizi, B. Amann : “On the Evaluation of RDF Distribution Algorithms Implemented over Apache Spark”, The 11^th International Workshop on Scalable Semantic Web Knowledge Base Systems, Bethlehem, Pennsylvania, United States, pp. 16-31 (2015)
  • I. Gueye, H. Naacke, I. Sarr : “Supporting Fluctuating Transactional Workload”, 26^th International Conference on Database and Expert Systems Applications (DEXA), vol. 9262, Lecture Notes in Computer Science, Valencia, Spain, pp. 295-303, (Springer) (2015)
  • J.‑B. Griesner, T. Abdessalem, H. Naacke : “POI Recommendation: Towards Fused Matrix Factorization with Geographical and Temporal Influences”, 9^th ACM Conference on Recommender Systems, RecSys, Vienne, Austria, pp. 301-304, (ACM) (2015)
  • M. Gueye, T. Abdessalem, H. Naacke : “Dynamic Recommender System: Using Cluster-Based Biases to Improve the Accuracy of the Predictions”, chapter in Advances in Knowledge Discovery and Management Volume 5, vol. 615, Studies in Computational Intelligence, pp. 79-104, (Springer) (2015)
  • I. Sarr, H. Naacke, N. Bame, I. Gueye, S. Ndiaye : “Green and Distributed Architecture for Managing Big Data of Biodiversity”, chapter in Computing in Research and Development in Africa. Benefits, Trends, Challenges and Solutions., pp. 21-39, (Springer), (ISBN: 978-3-319-08239-4) (2015)
• 2014
  • M. Gueye, T. Abdessalem, H. Naacke : “A Social and Popularity-based Tag Recommender”, Big Data and Cloud Computing (BdCloud), 2014 IEEE Fourth International Conference on, Sidney, Australia, pp. 318-325, (IEEE) (2014)
  • M. Gueye, T. Abdessalem, H. Naacke : “A parameter-free algorithm for an optimized tag recommendation list size”, RecSys '14, RecSys '14 Proceedings of the 8^th ACM Conference on Recommender systems, Foster City, United States, pp. 233-240, (ACM) (2014)
  • I. Gueye, I. Sarr, H. Naacke : “Gestion d’un workload transitoire via les graphes sociaux”, 12^th African Conference on Research in Computer Science and Applied Mathematics, CARI'2014, Saint-Louis, Senegal, pp. 201-212 (2014)
  • N. Bame, H. Naacke, I. Sarr, S. Ndiaye : “Algorithmes de traitement de requêtes de biodiversité dans un environnement distribué”, Revue Africaine de Recherche en Informatique et Mathématiques Appliquées, vol. Volume 18, 2014, pp. 1-18, (African Society in Digital Science) (2014)
  • I. Gueye, I. Sarr, H. Naacke : “Exploiting the social structure of online media to face transient heavy workload”, The Sixth International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2014, Chamonix, France, pp. 51-58 (2014)
• 2013
  • M. Gueye, T. Abdessalem, H. Naacke : “FoldCons: A Simple Way To Improve Tag Recommendation”, 5^th ACM RecSys Workshop on Recommender Systems & the Social Web, vol. 1066, CEUR Workshop Proceedings, Hong Kong, Hong Kong, pp. session: tags, (CEUR) (2013)
  • M. Gueye, T. Abdessalem, H. Naacke : “STRec: An Improved Graph-based Tag Recommender”, 5^th ACM RecSys Workshop on Recommender Systems & the Social Web, vol. 1066, CEUR Workshop Proceedings, Hong Kong, Hong Kong, pp. session: tags, (CEUR) (2013)
  • K. MI, B. Zhang, H. Naacke, D. Stern, S. Gançarski : “DataTour: Location-based Datastore over a Community Cloud (prototype demonstration)”, 29^e Journées de Bases de Données avancées, BDA 2013, Nantes, France (2013)
  • M. Gueye, T. Abdessalem, H. Naacke : “Improving tag recommendation by folding in more consistency”, (2013)
  • I. Sarr, H. Naacke, Abderrahmane O. M. Moctar : “STRING: Social-Transaction Routing over a Ring”, International Conference on Database and Expert Systems Applications (DEXA), vol. 8056, Lecture Notes in Computer Science, Prague, Czechia, pp. 319-333, (Springer) (2013)
  • M. Gueye, T. Abdessalem, H. Naacke : “Factorisation multi-biais pour de meilleures recommandations”, 5^e COLLOQUE NATIONAL SUR LA RECHERCHE EN INFORMATIQUE ET SES APPLICATIONS (CNRIA '13), Ziguinchor, Senegal (2013)
  • N. Bame, H. Naacke, I. Sarr, S. Ndiaye : “Traitement décentralisé de requêtes de biodiversité”, Colloque National sur la Recherche en Informatique et ses Applications, CNRIA 2013, Ziguinchor, Senegal, pp. 8 (2013)
  • M. Gueye, T. Abdessalem, H. Naacke : “Technique de factorisation multi-biais pour des recommandations dynamiques”, EGC 2013 - 13^e Conférence Francophone sur l'Extraction et la Gestion des Connaissances, vol. RNTI-E-24, Revue des Nouvelles Technologies de l'Information, Toulouse, France, pp. 365-376 (2013)
• 2012
  • M. Gueye, T. Abdessalem, H. Naacke : “Dynamic recommender system : using cluster-based biases to improve the accuracy of the predictions”, (2012)
  • N. Bame, H. Naacke, I. Sarr, S. Ndiaye : “Architecture répartie à large échelle pour le traitement parallèle de requêtes de biodiversité”, 11^th African Conference on Research in Computer Science and Applied Mathematics (CARI'12), Algiers, Algeria, pp. 143-150 (2012)
  • I. Gueye, I. Sarr, H. Naacke : “TransElas : Elastic Transaction Monitoring for Web2.0 applications”, 5^th International Conference on Data Management in Cloud, Grid and P2P Systems (GLOBE'12), vol. 7450, Lecture Notes in Computer Science, Vienna, Austria, pp. 1-12, (Springer) (2012)
  • L. Millet, M. Lorrillere, L. Arantes, S. Gançarski, H. Naacke, J. Sopena : “Facing peak loads in a P2P transaction system”, Proceedings of the First Workshop on P2P and Dependability (P2PDEP'12), P2P-Dep '12, Sibiu, Romania, pp. 1-7, (ACM) (2012)
• 2011
  • M. Gueye, T. Abdessalem, H. Naacke : “A cluster-based matrix-factorization for online integration of new ratings”, Journées de Bases de Données Avancées (BDA), Rabat, Morocco, pp. 1-18 (2011)
• 2010
  • I. Sarr, H. Naacke, S. Gançarski : “Failure-Tolerant Transaction Routing at Large Scale”, International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA), Menuires, France, pp. 165-172, (IEEE) (2010)
  • I. Sarr, H. Naacke, S. Gançarski : “TransPeer: Adaptive Distributed Transaction Monitoring for Web2.0 applications”, ACM Symposium on Applied Computing: Track on Dependable and Adaptive Distributed Systems (SAC DADS), Sierre, Switzerland, pp. 423-430, (ACM) (2010)
  • I. Sarr, H. Naacke, S. Gançarski : “Routage décentralisé de transactions avec gestion des pannes dans un réseau à large échelle”, Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, vol. 15 (1), pp. 87-111, (Lavoisier) (2010)
• 2009
  • M. Mesiti, M. Traian, L. Xiong, S. Muller, H. Naacke, B. Novikov, G. Raschia, I. Sanz, P. Sens, D. Shaporenkov, N. Travers : “Proceedings of the 2009 EDBT/ICDT Workshops”, pp. 218, (Association for Computing Machinery), (ISBN: 978-1-60558-650-2) (2009)
• 2008
  • I. Sarr, H. Naacke, S. Gançarski : “Routage Décentralisé de Transactions avec Gestion des Pannes dans un Réseau à Large Echelle”, Journées de Bases de Données Avancées (BDA), Guilherand Granges, France, pp. 1-20 (2008)
  • I. Sarr, H. Naacke, S. Gançarski : “DTR: Distributed Transaction Routing in a Large Scale Network”, VECPAR International Workshop on High-Performance Data Management in Grid Environments (HPDGrid), vol. 5336, Lecture Notes in Computer Science, Toulouse, France, pp. 521-531, (Springer) (2008)
• 2007
  • A. Doucet, H. Naacke : “Optimisation des bases de données”, chapter in Technologies logicielles Architectures des systèmes, pp. 1-20, (Techniques de l'Ingénieur, ETI Sciences et Techniques) (2007)
  • S. Gançarski, H. Naacke, E. Pacitti, P. Valduriez : “The leganet system: Freshness-aware transaction routing in a database cluster”, Information Systems, vol. 32 (2), pp. 320-343, (Elsevier) (2007)
• 2006
  • S. Gançarski, C. Leön, H. Naacke, M. Rukoz, P. Santini : “Integrity Constraint in Distributed Nested Transactions over a Database Cluster”, CLEI Electronic Journal., vol. 9 (2), pp. 1-13, (Latin American Center for Computer Studies = Centro Latinoamericano de Estudios en Informática) (2006)
  • H. Naacke : “Architecture et performances des bases de données”, chapitre de Encyclopédie de l'informatique et des systèmes d'information, pp. 513-525, (Vuibert), (ISBN: 978-2-7117-4846-4) (2006)
• 2005
  • S. Gançarski, H. Naacke, C. Leön, M. Rukoz, P. Santini : “Verificacion de Restricciones de Integridad en Transacciones Distribuidas sobre un cluster de Bases de Dados Relacionales”, XXXI Conferencia Latinoamericana de Informätica (CLEI), Cali, Colombia, pp. 489-500 (2005)
  • S. Gançarski, C. Le Pape, H. Naacke : “Fine-grained Refresh Strategies for Managing Replication in Database Clusters”, VLDB 2005 - Workshop on Design, Implementation, and Deployment of Database Replication, Trondheim, Norway, pp. 1-7 (2005)
• 2004
  • H. Naacke, F. Dang Ngoc, P. Valduriez : “Routage de transactions dans un cluster de bases de données répliquées”, Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, vol. 9 (1), pp. 85-107, (Lavoisier) (2004)
• 2003
  • H. Naacke, F. Dang Ngoc, P. Valduriez : “Transaction Routing with Freshness Control in a Cluster of Replicated Databases”, BDA 2003 - 19^es Journées Bases de Données Avancées, Lyon, France (2003)
• 2002
  • S. Gançarski, H. Naacke, E. Pacitti, P. Valduriez : “Parallel Processing with Autonomous Databases in a Cluster System”, CoopIS 2002 - 10^th International Conference on Cooperative Information Systems, vol. 2519, Lecture Notes in Computer Science, Irvine, CA, United States, pp. 410-428, (Springer) (2002)
  • S. Gançarski, H. Naacke, P. Valduriez : “Load Balancing of Autonomous Applications and Databases in a Cluster System”, WDAS 2002 - 4^th Workshop on Distributed Data and Structures, vol. 14, Proceedings in Informatics, Paris, France, pp. 159-170, (Carleton Scientific) (2002)