Jiefu Song

According to our database, Jiefu Song authored at least 26 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Mining Frequent Sequential Subgraph Evolutions in Dynamic Attributed Graphs.

Zhi Cheng, Landy Andriamampianina, Franck Ravat, Jiefu Song, Nathalie Vallès-Parlangeau, Philippe Fournier-Viger, Nazha Selmaoui-Folcher

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Interrogation des graphes temporels de propriétés.

Landy Andriamampianina, Franck Ravat, Jiefu Song, Nathalie Vallès-Parlangeau

Proceedings of the Actes du XLI Congrès INFORSID, La Rochelle, France, May 30, 2023

Semantic Centrality for Temporal Graphs.

Landy Andriamampianina, Franck Ravat, Jiefu Song, Nathalie Vallès-Parlangeau

Proceedings of the New Trends in Database and Information Systems, 2023

2022

Graph data temporal evolutions: From conceptual modelling to implementation.

Landy Andriamampianina, Franck Ravat, Jiefu Song, Nathalie Vallès-Parlangeau

Data Knowl. Eng., 2022

Anomaly detection for ICS based on deep learning: a use case for aeronautical radar data.

Theobald de Riberolles, Yunkai Zou, Guthemberg Silvestre, Emmanuel Lochin, Jiefu Song

Ann. des Télécommunications, 2022

Vers une approche efficiente de gestion d'évolution des données graphes.

Landy Andriamampianina, Franck Ravat, Jiefu Song, Nathalie Vallès-Parlangeau

Proceedings of the Actes du XLème Congrès INFORSID, Dijon, France, May 31 - June 3, 2022., 2022

Adaptive Threshold for Anomaly Detection in ATM Radar Data Streams.

Achraf Krim Rahaoui, Theobald de Riberolles, Jiefu Song

Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

Querying Temporal Property Graphs.

Landy Andriamampianina, Franck Ravat, Jiefu Song, Nathalie Vallès-Parlangeau

Proceedings of the Advanced Information Systems Engineering, 2022

2021

Expert system dedicated to condition-based maintenance based on a knowledge graph approach: Application to an aeronautic system.

Alexandre Sarazin, Jérémy Bascans, Jean-Baptiste Sciau, Jiefu Song, Bruno Supiot, Aurélie Montarnal, Xavier Lorca, Sébastien Truptil

Expert Syst. Appl., 2021

Towards an Efficient Approach to Manage Graph Data Evolution: Conceptual Modelling and Experimental Assessments.

Landy Andriamampianina, Franck Ravat, Jiefu Song, Nathalie Vallès-Parlangeau

Proceedings of the Research Challenges in Information Science, 2021

2020

Efficient querying of multidimensional RDF data with aggregates: Comparing NoSQL, RDF and relational data stores.

Franck Ravat, Jiefu Song, Olivier Teste, Cássia Trojahn

Int. J. Inf. Manag., 2020

A generic modelling to capture the temporal evolution in graphs.

Landy Andriamampianina, Franck Ravat, Jiefu Song, Nathalie Vallès-Parlangeau

Proceedings of the Business Intelligence & Big Data, 2020

2019

Improving the performance of querying multidimensional RDF data using aggregates.

Franck Ravat, Jiefu Song, Olivier Teste, Cássia Trojahn

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

2018

A Unified Approach to Multisource Data Analyses.

Franck Ravat, Jiefu Song

Fundam. Informaticae, 2018

Managing Reduction in Multidimensional Databases.

Franck Ravat, Jiefu Song, Olivier Teste

Proceedings of the SOFSEM 2018: Theory and Practice of Computer Science - 44th International Conference on Current Trends in Theory and Practice of Computer Science, Krems, Austria, January 29, 2018

2017

Vers un modèle unifié de données entreposées et de données ouvertes liées. Concepts et expérimentations.

Franck Ravat, Jiefu Song, Olivier Teste

Ingénierie des Systèmes d Inf., 2017

2016

OLAP Analysis Operators for Multi-State Data Warehouses.

Franck Ravat, Jiefu Song, Olivier Teste

Int. J. Data Warehous. Min., 2016

Designing multidimensional cubes from warehoused data and linked open data.

Franck Ravat, Jiefu Song, Olivier Teste

Proceedings of the Tenth IEEE International Conference on Research Challenges in Information Science, 2016

Unifying Warehoused Data with Linked Open Data: A Conceptual Modeling Solution.

Franck Ravat, Jiefu Song

Proceedings of the Model and Data Engineering - 6th International Conference, 2016

Designing Multidimensional Cubes from Warehoused Data and Linked Open Datas.

Franck Ravat, Jiefu Song, Olivier Teste

Proceedings of the Actes du XXXIVème Congrès INFORSID, Grenoble, France, May 31, 2016

Enabling OLAP analyses on the web of data.

Franck Ravat, Jiefu Song

Proceedings of the Eleventh International Conference on Digital Information Management, 2016

2015

Facilitate Effective Decision-Making by Warehousing Reduced Data: Is It Feasible?

Faten Atigui, Franck Ravat, Jiefu Song, Olivier Teste, Gilles Zurfluh

Int. J. Decis. Support Syst. Technol., 2015

Combining Business Intelligence with Semantic Web : Overview and Challenges.

Sébastien Laborie, Franck Ravat, Jiefu Song, Olivier Teste

Proceedings of the Actes du XXXIIIème Congrès INFORSID, Biarritz, France, May 26-29, 2015, 2015

Analysis Framework for Reduced Data Warehouse.

Franck Ravat, Jiefu Song, Olivier Teste

Proceedings of the Actes des 11es journées francophones sur les Entrepôts de Données et l'Analyse en Ligne, 2015

2014

Entrepôts de données multidimensionnelles réduites : principes et expérimentations.

Faten Atigui, Franck Ravat, Jiefu Song, Gilles Zurfluh

Proceedings of the Actes des 10e journées francophones sur les Entrepôts de Données et l'Analyse en Ligne, 2014

Reducing Multidimensional Data.

Faten Atigui, Franck Ravat, Jiefu Song, Gilles Zurfluh

Proceedings of the Data Warehousing and Knowledge Discovery, 2014