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Using aggregation functions on structured data: a use case in the FIGHT-HF project

Kevin Dalleau 1 Miguel Couceiro 1 Marie-Dominique Devignes 2 Chedy Raïssi 1 Malika Smaïl-Tabbone 1 
1 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
2 CAPSID - Computational Algorithms for Protein Structures and Interactions
Inria Nancy - Grand Est, LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
Abstract : Heart Failure is a serious condition, affecting more and more people every year. The project FIGHT-HF aims at getting a better understanding of the disease and finding innovative ways to prevent and treat it. In order to enable an evidence-based decision making and design novel therapeutic strategies from the collected data, effcient data integration and mining tools must be used. We propose a method to aggregate complex graphs into simple weighted graphs, and to apply it on these data, containing complex relations between entities of various nature.
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Contributor : Malika Smail-Tabbone Connect in order to contact the contributor
Submitted on : Friday, November 18, 2016 - 2:53:35 PM
Last modification on : Thursday, August 4, 2022 - 5:18:45 PM


  • HAL Id : hal-01399232, version 1


Kevin Dalleau, Miguel Couceiro, Marie-Dominique Devignes, Chedy Raïssi, Malika Smaïl-Tabbone. Using aggregation functions on structured data: a use case in the FIGHT-HF project. International Symposium on Aggregation and Structures (ISAS 2016) , Jul 2016, Luxembourg, Luxembourg. ⟨hal-01399232⟩



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