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Journal articles

  • M. Fopa, M. Gueye, S. Ndiaye, H. Naacke : “A parameter-free KNN for rating prediction”, Data and Knowledge Engineering, (Elsevier) [Fopa 2022]
  • 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) [Li 2021]
  • H. Naacke, O. CurĂ© : “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)) [Naacke 2020]
  • N. Bame, H. Naacke, I. Sarr, S. Ndiaye : “Optimisation de requĂŞtes dynamiques pour l'analyse de la biodiversitĂ©”, Revue Africaine de Recherche en Informatique et MathĂ©matiques AppliquĂ©es, vol. Volume 21 - 2015 - Special issue - CARI 2014, pp. 21-47, (African Society in Digital Science) [Bame 2015]
  • N. Bame, H. Naacke, I. Sarr, S. Ndiaye : “Algorithmes de traitement de requĂŞtes de biodiversitĂ© dans un environnement distribuĂ©”, Revue Africaine de Recherche en Informatique et MathĂ©matiques AppliquĂ©es, vol. Volume 18, 2014, pp. 1-18, (African Society in Digital Science) [Bame 2014]
  • I. Sarr, H. Naacke, S. Gançarski : “Routage dĂ©centralisĂ© de transactions avec gestion des pannes dans un rĂ©seau Ă  large Ă©chelle”, Revue des Sciences et Technologies de l'Information - SĂ©rie ISI : IngĂ©nierie des Systèmes d'Information, vol. 15 (1), pp. 87-111, (Lavoisier) [Sarr 2010b]
  • 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) [Gançarski 2007b]
  • 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 [Gançarski 2006]
  • H. Naacke, F. Dang Ngoc, P. Valduriez : “Routage de transactions dans un cluster de bases de donnĂ©es rĂ©pliquĂ©es”, Revue des Sciences et Technologies de l'Information - SĂ©rie ISI : IngĂ©nierie des Systèmes d'Information, vol. 9 (1), pp. 85-107, (Lavoisier) [Naacke 2004]

Conference papers

  • 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) [Rahimi 2024a]
  • 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) [Rahimi 2024b]
  • S. Jarrad, H. Naacke, S. Gançarski, M. Gueye : “Embedding-Enhanced Similarity Metrics for Next POI Recommendation”, Proceedings of the 12th 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) [Jarrad 2023]
  • N. Bame, I. Gueye, H. Naacke : “Geo-Semantic Event-POI Matching of Large Mobility Datasets”, Proceedings of the 12th 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) [Bame 2023]
  • J. Fopa, M. Gueye, S. Ndiaye, H. Naacke : “Une mĂ©thode KNN sans paramètre pour prĂ©dire les notes des utilisateurs”, ConfĂ©rence 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) [Fopa 2022]
  • 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”, 10th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, on-line, France, pp. 35-46, (SciTePress) [Khiri 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) [Gueye 2020a]
  • 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 [Gueye 2020b]
  • K. Li, H. Naacke, B. Amann : “EPIQUE: A Graph Data Model and Query Language for Exploring the Evolution of Science”, BDA 2020 : 36ème ConfĂ©rence sur la Gestion de DonnĂ©es – Principes, Technologies et Applications., Paris (virtual), France [Li 2020a]
  • 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 [Li 2020b]
  • 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 [Li 2020c]
  • H. Naacke, K. Li, B. Amann, O. CurĂ© : “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) [Naacke 2019]
  • O. CurĂ©, 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) [CurĂ© 2019]
  • 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 [Griesner 2018a]
  • J.‑B. Griesner, T. Abdessalem, H. Naacke, P. Dosne : “ALGeoSPF: Un modèle de factorisation basĂ© sur du clustering gĂ©ographique pour la recommandation de POI”, Extraction et Gestion de Connaissances (EGC'2018), Saint Denis, France, pp. 12 [Griesner 2018b]
  • X. Ren, O. CurĂ©, 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 [Ren 2018a]
  • H. Naacke, J.‑B. Griesner, T. Abdessalem, P. Dosne : “ALGeoSPF: A Hierarchical Geographical Factorization Model for POI Recommendation”, JournĂ©es Bases de DonnĂ©es AvancĂ©es (BDA), Nancy, France, pp. 11 [Naacke 2017b]
  • H. Naacke, B. Amann, O. CurĂ© : “SPARQL Graph Pattern Processing with Apache Spark”, GRADES (Graph Data-management Experiences & Systems), Workshop, SIGMOD 2017, Chicago, United States, pp. 1-7 [Naacke 2017a]
  • X. Ren, O. CurĂ©, 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) [Ren 2017]
  • J.‑B. Griesner, T. Abdessalem, H. Naacke : “Un Modèle de Factorisation de Poisson pour la Recommandation de Points d'IntĂ©rĂŞt”, 17ème JournĂ©es Francophones Extraction et Gestion des Connaissances (EGC 2017), Grenoble, France, pp. 411-416 [Griesner 2017]
  • J.‑B. Griesner, T. Abdessalem, H. Naacke : “IntĂ©gration des Influences GĂ©ographique et Temporelle pour la Recommandation de Points d'IntĂ©rĂŞt”, Extraction et Gestion des Connaissances, vol. RNTI-E-30, RNTI, Reims, France, pp. 153-158 [Griesner 2016]
  • H. Naacke, O. CurĂ©, B. Amann : “SPARQL query processing with Apache Spark”, JournĂ©es Bases de DonnĂ©es AvancĂ©es (BDA 2016), Poitiers, France, pp. 24-25 [Naacke 2016]
  • O. CurĂ©, 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) [CurĂ© 2015c]
  • O. CurĂ©, H. Naacke, M.‑A. Baazizi, B. Amann : “On the Evaluation of RDF Distribution Algorithms Implemented over Apache Spark”, The 11th International Workshop on Scalable Semantic Web Knowledge Base Systems, Bethlehem, Pennsylvania, United States, pp. 16-31 [CurĂ© 2015b]
  • J.‑B. Griesner, T. Abdessalem, H. Naacke : “POI Recommendation: Towards Fused Matrix Factorization with Geographical and Temporal Influences”, 9th ACM Conference on Recommender Systems, RecSys, Vienne, Austria, pp. 301-304, (ACM) [Griesner 2015]
  • I. Gueye, H. Naacke, I. Sarr : “Supporting Fluctuating Transactional Workload”, 26th International Conference on Database and Expert Systems Applications (DEXA), vol. 9262, Lecture Notes in Computer Science, Valencia, Spain, pp. 295-303, (Springer) [Gueye 2015]
  • M. Gueye, T. Abdessalem, H. Naacke : “A parameter-free algorithm for an optimized tag recommendation list size”, RecSys '14, RecSys '14 Proceedings of the 8th ACM Conference on Recommender systems, Foster City, United States, pp. 233-240, (ACM) [Gueye 2014a]
  • 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) [Gueye 2014b]
  • 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 [Gueye 2014a]
  • I. Gueye, I. Sarr, H. Naacke : “Gestion d’un workload transitoire via les graphes sociaux”, 12th African Conference on Research in Computer Science and Applied Mathematics, CARI'2014, Saint-Louis, Senegal, pp. 201-212 [Gueye 2014b]
  • K. MI, B. Zhang, H. Naacke, D. Stern, S. Gançarski : “DataTour: Location-based Datastore over a Community Cloud (prototype demonstration)”, 29ème JournĂ©es de Bases de DonnĂ©es avancĂ©es, BDA 2013, Nantes, France [MI 2013]
  • M. Gueye, T. Abdessalem, H. Naacke : “Factorisation multi-biais pour de meilleures recommandations”, 5ème COLLOQUE NATIONAL SUR LA RECHERCHE EN INFORMATIQUE ET SES APPLICATIONS (CNRIA '13), Ziguinchor, Senegal [Gueye 2013a]
  • M. Gueye, T. Abdessalem, H. Naacke : “FoldCons: A Simple Way To Improve Tag Recommendation”, 5th ACM RecSys Workshop on Recommender Systems & the Social Web, vol. 1066, CEUR Workshop Proceedings, Hong Kong, Hong Kong, pp. session: tags, (CEUR) [Gueye 2013b]
  • M. Gueye, T. Abdessalem, H. Naacke : “STRec: An Improved Graph-based Tag Recommender”, 5th ACM RecSys Workshop on Recommender Systems & the Social Web, vol. 1066, CEUR Workshop Proceedings, Hong Kong, Hong Kong, pp. session: tags, (CEUR) [Gueye 2013d]
  • 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) [Sarr 2013]
  • M. Gueye, T. Abdessalem, H. Naacke : “Technique de factorisation multi-biais pour des recommandations dynamiques”, EGC 2013 - 13e ConfĂ©rence 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 [Gueye 2013e]
  • N. Bame, H. Naacke, I. Sarr, S. Ndiaye : “Traitement dĂ©centralisĂ© de requĂŞtes de biodiversitĂ©”, Colloque National sur la Recherche en Informatique et ses Applications, CNRIA 2013, Ziguinchor, Senegal, pp. 8 [Bame 2013]
  • N. Bame, H. Naacke, I. Sarr, S. Ndiaye : “Architecture rĂ©partie Ă  large Ă©chelle pour le traitement parallèle de requĂŞtes de biodiversitĂ©”, 11th African Conference on Research in Computer Science and Applied Mathematics (CARI'12), Algiers, Algeria, pp. 143-150 [Bame 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) [Millet 2012]
  • I. Gueye, I. Sarr, H. Naacke : “TransElas : Elastic Transaction Monitoring for Web2.0 applications”, 5th 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) [Gueye 2012]
  • M. Gueye, T. Abdessalem, H. Naacke : “A cluster-based matrix-factorization for online integration of new ratings”, JournĂ©es de Bases de DonnĂ©es AvancĂ©es (BDA), Rabat, Morocco, pp. 1-18 [Gueye 2011]
  • 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) [Sarr 2010a]
  • 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) [Sarr 2010c]
  • 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) [Sarr 2008a]
  • I. Sarr, H. Naacke, S. Gançarski : “Routage DĂ©centralisĂ© de Transactions avec Gestion des Pannes dans un RĂ©seau Ă  Large Echelle”, JournĂ©es de Bases de DonnĂ©es AvancĂ©es (BDA), Guilherand Granges, France, pp. 1-20 [Sarr 2008b]
  • 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 [Gançarski 2005a]
  • 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 [Gançarski 2005b]
  • H. Naacke, F. Dang Ngoc, P. Valduriez : “Transaction Routing with Freshness Control in a Cluster of Replicated Databases”, BDA 2003 - 19èmes JournĂ©es Bases de DonnĂ©es AvancĂ©es, Lyon, France [Naacke 2003]
  • S. Gançarski, H. Naacke, P. Valduriez : “Load Balancing of Autonomous Applications and Databases in a Cluster System”, WDAS 2002 - 4th Workshop on Distributed Data and Structures, vol. 14, Proceedings in Informatics, Paris, France, pp. 159-170, (Carleton Scientific) [Gançarski 2002b]
  • S. Gançarski, H. Naacke, E. Pacitti, P. Valduriez : “Parallel Processing with Autonomous Databases in a Cluster System”, CoopIS 2002 - 10th International Conference on Cooperative Information Systems, vol. 2519, Lecture Notes in Computer Science, Irvine, CA, United States, pp. 410-428, (Springer) [Gançarski 2002a]

Edited books

  • 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) [Mesiti 2009]

Book chapters

  • 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) [Gueye 2022]
  • B. Amann, O. CurĂ©, 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) [Amann 2018]
  • 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) [Gueye 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) [Sarr 2015]
  • A. Doucet, H. Naacke : “Optimisation des bases de donnĂ©es”, chapter in Technologies logicielles Architectures des systèmes, pp. 1-20, (Techniques de l'IngĂ©nieur, ETI Sciences et Techniques) [Doucet 2007]
  • H. Naacke : “Architecture et performances des bases de donnĂ©es”, chapitre de EncyclopĂ©die de l'informatique et des systèmes d'information, pp. 513-525, (Vuibert), (ISBN: 978-2-7117-4846-4) [Naacke 2006]

Other publications

  • H. Rahimi, H. Naacke, C. Constantin, B. Amann : “ANTM: An Aligned Neural Topic Model for Exploring Evolving Topics”, [Rahimi 2023a]
  • H. Rahimi, H. Naacke, C. Constantin, B. Amann : “ATEM: A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives”, [Rahimi 2023b]
  • H. Rahimi, J. Hoover, D. Mimno, H. Naacke, C. Constantin, B. Amann : “Contextualized Topic Coherence Metrics”, [Rahimi 2023c]

  • X. Ren, O. CurĂ©, 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) [Ren 2018b]
  • S. Castillo, H. Naacke, B. Amann, D. Chavalarias : “Exploring the evolution of science through interactive phylomemetic topic maps”, 32ème ConfĂ©rence sur la Gestion de DonnĂ©es - BDA2016, Poitiers, France [Castillo 2016]
  • O. CurĂ©, H. Naacke, M.‑A. Baazizi, B. Amann : “HAQWA: a Hash-based and Query Workload Aware Distributed RDF Store”, The 14th International Semantic Web Conference, ISWC 2015, vol. 1486, CEUR Workshop Proceedings, Bethlehem, Pennsylvania, United States, (CEUR-WS.org) [CurĂ© 2015a]

Other publications

  • M. Gueye, T. Abdessalem, H. Naacke : “Improving tag recommendation by folding in more consistency”, [Gueye 2013c]
  • M. Gueye, T. Abdessalem, H. Naacke : “Dynamic recommender system : using cluster-based biases to improve the accuracy of the predictions”, [Gueye 2012]
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