Publications de Jiefu SONG
Landy Andriamampianina, Franck Ravat, Jiefu Song, Nathalie Vallès-Parlangeau
Graph data temporal evolutions: From conceptual modelling to implementation
Data and Knowledge Engineering, 2022, SI: Special Issue on Research Challenges in Information Science (RCIS 2021), 139 (Suppl. C), pp.102017. ⟨10.1016/j.datak.2022.102017⟩
Theobald de Riberolles, Yunkai Zou, Guthemberg Silvestre, Emmanuel Lochin, Jiefu Song
Anomaly Detection for ICS Based on Deep Learning: A Use Case for Aeronautical Radar Data
Annals of Telecommunications – annales des télécommunications, 2022, ⟨10.1007/s12243-021-00902-7⟩
Franck Ravat, Jiefu Song, Olivier Teste, Cassia Trojahn dos Santos
Efficient querying of multidimensional RDF data with aggregates: Comparing NoSQL, RDF and relational data stores
International Journal of Information Management, 2020, 54, pp.102089. ⟨10.1016/j.ijinfomgt.2020.102089⟩
A Unified Approach to Multisource Data Analyses
Fundamenta Informaticae, 2018, 162 (4), pp.311-359. ⟨10.3233/FI-2018-1727⟩
Franck Ravat, Jiefu Song, Olivier Teste
Vers un Modèle Unifié de Données Entreposées et de Données Ouvertes Liées : Concepts et Expérimentations
Revue des Sciences et Technologies de l’Information – Série ISI : Ingénierie des Systèmes d’Information, 2017, vol. 22 (n° 2), pp. 35-67. ⟨10.3166/isi.22.2.35-67⟩
Franck Ravat, Jiefu Song, Olivier Teste
OLAP Analysis Operators for Multi-state Data Warehouses
International Journal of Data Warehousing and Mining (IJDWM), 2016, 12 (4), pp.20-53. ⟨10.4018/IJDWM.2016100102⟩
Faten Atigui, Franck Ravat, Jiefu Song, Olivier Teste, Gilles Zurfluh
Facilitate effective decision-making by warehousing reduced data
International Journal of Decision Support System Technology, 2015, 7 (3), pp.36-64. ⟨10.4018/ijdsst.2015070103⟩
Landy Andriamampianina, Franck Ravat, Jiefu Song, Nathalie Vallès-Parlangeau
Semantic Centrality for Temporal Graphs
27th European Conference on Advances in Databases and Information Systems (ADBIS 2023), Sep 2023, Barcelona, Spain. pp.163-173, ⟨10.1007/978-3-031-42941-5_15⟩
Zhi Cheng, Landy Andriamampianina, Franck Ravat, Jiefu Song, Nathalie Vallès-Parlangeau, Philippe Fournier-Viger, Nazha Selmaoui-Folcher
Mining Frequent Sequential Subgraph Evolutions in Dynamic Attributed Graphs
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2023), May 2023, Osaka, Japan. pp.66-78, ⟨10.1007/978-3-031-33377-4_6⟩
Landy Andriamampianina, Franck Ravat, Jiefu Song, Nathalie Vallès-Parlangeau
Querying Temporal Property Graphs
34th International Conference on Advanced Information Systems Engineering (CAiSE 2022), Jun 2022, Louvain, Belgium. pp.355-370, ⟨10.1007/978-3-031-07472-1_21⟩
Achraf Krim Rahaoui, Théobald de Riberolles, Jiefu Song
Adaptive Threshold for Anomaly Detection in ATM Radar Data Streams
3rd International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI 2022), Jun 2022, Paris, France. pp.431-442, ⟨10.1007/978-3-031-09282-4_36⟩
Landy Andriamampianina, Franck Ravat, Jiefu Song, Nathalie Vallès-Parlangeau
Vers une approche efficiente de gestion d’évolution des données graphes
40ème Congrès annuel INFormatique des ORganisations et Systèmes d’Information et de Décision (INFORSID 2022), May 2022, Dijon, France
Landy Andriamampianina, Franck Ravat, Jiefu Song, Nathalie Vallès-Parlangeau
Towards an efficient approach to manage graph data evolution: conceptual modelling and experimental assessments
Research Challenges in Information Science. RCIS 2021, May 2021, virtual, Cyprus. pp.471-488, ⟨10.1007/978-3-030-75018-3_31⟩
Landy Andriamampianina, Franck Ravat, Jiefu Song, Nathalie Vallès-Parlangeau
A generic modelling to capture the temporal evolution in graphs
16e journées EDA : Business Intelligence & Big Data (EDA 2020), Aug 2020, Lyon, France. pp.19-32
Theobald de Riberolles, Jiefu Song, Yunkai Zou, Guthemberg Silvestre, Nicolas Larrieu
Characterizing Radar Network Traffic: a first step towards spoofing attack detection
AeroConf 2020, IEEE Aerospace Conference, Mar 2020, Big Sky, United States. pp.ISBN:978-1-7281-2734-7, ⟨10.1109/AERO47225.2020.9172292⟩
Franck Ravat, Jiefu Song, Olivier Teste, Cassia Trojahn dos Santos
Improving the performance of querying multidimensional RDF data using aggregates
34th ACM/SIGAPP Symposium on Applied Computing (SAC 2019), Apr 2019, Limassol, Cyprus. pp.2275-2284
Franck Ravat, Jiefu Song, Olivier Teste
Managing Reduction in Multidimensional Databases
International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM, 2018), Jan 2018, Krems an der Donau, Austria. pp.653-666
Unifying Warehoused Data with Linked Open Data: A Conceptual Modeling Solution
6th International Conference Model and Data Engineering (MEDI 2016), Sep 2016, Almeria, Spain. pp. 245-259
Enabling OLAP Analyses on the Web of Data
19th IEEE International Conference on Digital Information Management (ICDIM 2016), Sep 2016, Porto, Portugal. pp. 215-224
Franck Ravat, Jiefu Song, Olivier Teste
Designing Multidimensional Cubes from Warehoused Data and Linked Open Data
10th International IEEE Conference on Research Challenges in Information Science (RCIS 2016) co-located witht the 34th French Conference INFORSID, Jun 2016, Grenoble, France. pp. 199-200
Sébastien Laborie, Franck Ravat, Jiefu Song, Olivier Teste
Combining Business Intelligence with Semantic Web: Overview and Challenges
33ème Congrès sur l’INFormatique des ORganisations et Systèmes d’Information et de Décision (INFORSID 2015), May 2015, Biarritz, France
Franck Ravat, Jiefu Song, Olivier Teste
Analysis Framework for Reduced Data Warehouse
11e Journées Francophones sur les Entrepôts de Données et l’Analyse en ligne (EDA 2015), Apr 2015, Bruxelles, Belgium. pp. 81-96
Faten Atigui, Franck Ravat, Jiefu Song, Gilles Zurfluh
Reducing Multidimensional Data
International Conference on Data Warehousing and Knowledge Discovery – DaWaK 2014, Sep 2014, Munich, Germany. pp. 208-220
Faten Atigui, Franck Ravat, Jiefu Song, Gilles Zurfluh
Entrepôts de données multidimensionnelles réduites : principes et expérimentations
10e journées francophones sur les Entrepôts de Données et l’Analyse en Ligne (EDA 2014), Jun 2014, Vichy, France. pp.103-118, ⟨10.13140/2.1.1260.9928⟩