| On mining complex sequential data by means of FCA and pattern structures A Buzmakov, E Egho, N Jay, SO Kuznetsov, A Napoli, C Raïssi International Journal of General Systems 45 (2), 135-159, 2016 | 56 | 2016 |
| On measuring similarity for sequences of itemsets E Egho, C Raïssi, T Calders, N Jay, A Napoli Data Mining and Knowledge Discovery 29, 732-764, 2015 | 43 | 2015 |
| A user parameter-free approach for mining robust sequential classification rules E Egho, D Gay, M Boullé, N Voisine, F Clérot Knowledge and Information Systems 52, 53-81, 2017 | 37 | 2017 |
| On Projections of Sequential Pattern Structures (with an application on care trajectories) A Buzmakov, E Egho, N Jay, SO Kuznetsov, A Napoli, C Raïssi The Tenth International Conference on Concept Lattices and Their …, 2013 | 28 | 2013 |
| A parameter-free approach for mining robust sequential classification rules E Egho, D Gay, M Boullé, N Voisine, F Clérot 2015 IEEE International Conference on Data Mining, 745-750, 2015 | 21 | 2015 |
| An approach for mining care trajectories for chronic diseases E Egho, N Jay, C Raïssi, G Nuemi, C Quantin, A Napoli Artificial Intelligence in Medicine: 14th Conference on Artificial …, 2013 | 18 | 2013 |
| A FCA-based analysis of sequential care trajectories E Egho, N Jay, C Raissi, A Napoli The Eighth International Conference on Concept Lattices and their …, 2011 | 18 | 2011 |
| A contribution to the discovery of multidimensional patterns in healthcare trajectories E Egho, N Jay, C Raïssi, D Ienco, P Poncelet, M Teisseire, A Napoli Journal of Intelligent Information Systems 42, 283-305, 2014 | 17 | 2014 |
| Healthcare trajectory mining by combining multidimensional component and itemsets E Egho, C Raïssi, D Ienco, N Jay, A Napoli, P Poncelet, C Quantin, ... International Workshop on New Frontiers in Mining Complex Patterns, 109-123, 2012 | 12 | 2012 |
| The representation of sequential patterns and their projections within Formal Concept Analysis A Buzmakov, E Egho, N Jay, SO Kuznetsov, A Napoli, C Raïssi Workshop Notes for LML (PKDD), 2013 | 9 | 2013 |
| Mining Heterogeneous Multidimensional Sequential Patterns. E Egho, C Raïssi, N Jay, A Napoli ECAI, 279-284, 2014 | 7 | 2014 |
| FCA and pattern structures for mining care trajectories A Buzmakov, E Egho, N Jay, SO Kuznetsov, A Napoli, C Raïssi Workshop FCA4AI," What FCA can do for artificial intelligence?", 2013 | 7 | 2013 |
| MiSeRe-hadoop: a large-scale robust sequential classification rules mining framework E Egho, D Gay, R Trinquart, M Boullé, N Voisine, F Clérot Big Data Analytics and Knowledge Discovery: 19th International Conference …, 2017 | 4 | 2017 |
| Mining Heterogeneous Multidimensional Sequential Data E Egho Université de Lorraine, 2014 | 1 | 2014 |
| Extraction de motifs séquentiels dans des données séquentielles multidimensionnelles et hétérogenes–Une applicationa l’analyse de trajectoires de patients E Egho PhD thesis, Université de Lorraine. Cette thèse est accessible à l'adresse …, 2014 | 1 | 2014 |
| Vers une mesure de similarité pour les séquences complexes E Egho, C Raïssi, T Calders, N Jay, A Napoli Revue des Nouvelles Technologies de l'Information, 335-340, 2013 | 1 | 2013 |
| Une approche Bayésienne pour l’apprentissage de règles séquentielles de classification E Egho, D Gay, M Boullé, N Voisine, F Clérot Plateforme de l'Intelligence Artificielle-Applications Pratiques de l …, 2015 | | 2015 |
| Apports des méthodes de fouille de données pour l’étude des trajectoires de prise en charge du cancer du poumon en région Bourgogne N Jay, E Egho, G Nuemi, F Kohler, A Napoli, C Quantin Revue d'Épidémiologie et de Santé Publique 60, S13-S14, 2012 | | 2012 |
Amedeo NapoliSenior researcher in computer science, LORIA (CNRS - Inria - U. Lorraine), NancyVerified email at loria.fr
