Mondher Maddouri

Haithem Mezni

Proceedings of the Extraction et Gestion des Connaissances, 2020

2019

Efficiently Mining Recurrent Substructures from Protein Three-Dimensional Structure Graphs.

[BibT_eX]

[DOI]

Wajdi Dhifli

J. Comput. Biol., 2019

A Structure Based Multiple Instance Learning Approach for Bacterial Ionizing Radiation Resistance Prediction.

[BibT_eX]

[DOI]

Manel Zoghlami

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

Cloud Implementation of Classier Nominal Concepts using DistributedWekaSpark.

[BibT_eX]

[DOI]

Rawia Fray

Proceedings of the Supplementary Proceedings of ICFCA 2019 Conference and Workshops, 2019

2018

An experimental survey on big data frameworks.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2018

A Comparative Study on Streaming Frameworks for Big Data.

[BibT_eX]

[DOI]

Proceedings of the Latin America Data Science Workshop co-located with 44th International Conference on Very Large Data Bases (VLDB 2018), 2018

ABClass : Une approche d'apprentissage multi-instances pour les séquences(ABClass: A multiple instance learning approach for sequence data).

[BibT_eX]

[DOI]

Manel Zoghlami

Proceedings of the Actes de la Conférence Nationale d'Intelligence Artificielle et Rencontres des Jeunes Chercheurs en Intelligence Artificielle (CNIA+RJCIA 2018), 2018

2017

A New Feature Selection Method for Nominal Classifier based on Formal Concept Analysis.

[BibT_eX]

[DOI]

Marwa Trabelsi

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017

2016

Prediction of Ionizing Radiation Resistance in Bacteria Using a Multiple Instance Learning Model.

[BibT_eX]

[DOI]

J. Comput. Biol., 2016

A multiple instance learning approach for sequence data with across bag dependencies.

[BibT_eX]

[DOI]

CoRR, 2016

New Taxonomy of Classification Methods Based on Formal Concepts Analysis.

[BibT_eX]

[DOI]

Marwa Trabelsi

Proceedings of the 5th International Workshop "What can FCA do for Artificial Intelligence"? co-located with the European Conference on Artificial Intelligence, 2016

2015

Density-based data partitioning strategy to approximate large-scale subgraph mining.

[BibT_eX]

[DOI]

Laurent d'Orazio

Inf. Syst., 2015

Cost Models for Distributed Pattern Mining in the Cloud.

[BibT_eX]

[DOI]

Laurent d'Orazio

Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

2014

Un partitionnement basé sur la densité de graphe pour approcher la fouille distribuée de sous-graphes fréquents.

[BibT_eX]

[DOI]

Laurent d'Orazio

Tech. Sci. Informatiques, 2014

Parallel Learning and Classification for Rules based on Formal Concepts.

[BibT_eX]

[DOI]

Hela Khoufi

Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014

2013

Computational phenotype prediction of ionizing-radiation-resistant bacteria with a multiple-instance learning model.

[BibT_eX]

[DOI]

Haïtham Sghaier

Proceedings of the 12th International Workshop on Data Mining in Bioinformatics, 2013

2012

Diversity Analysis on Boosting Nominal Concepts.

[BibT_eX]

[DOI]

Hela Khoufi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Feature extraction in protein sequences classification: a new stability measure.

[BibT_eX]

[DOI]

Proceedings of the ACM International Conference on Bioinformatics, 2012

2011

Vers un critère d'arrêt de Boosting basé sur la diversité des classifieurs.

[BibT_eX]

[DOI]

Hela Khoufi

Proceedings of the Actes du XXIXème Congrès INFORSID, Lille, France, 24-25 mai 2011, 2011

2010

Protein sequences classification by means of feature extraction with substitution matrices.

[BibT_eX]

[DOI]

BMC Bioinform., 2010

Adaptive Learning of Nominal Concepts for Supervised Classification.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010

Etude de stabilité de méthodes d'extraction de motifs à partir des séquences protéiques.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

Apprentissage supervisé adaptatif de Concepts Formels à partir des données nominales.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

Développement de méthodes de classification basées sur l'analyse de concepts formels sous la plateforme WEKA.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

2009

A Hybrid Approach of Boosting Against Noisy Data.

[BibT_eX]

[DOI]

Proceedings of the Mining Complex Data, 2009

Comparing graph-based representations of protein for mining purposes.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGKDD Workshop on Statistical and Relational Learning in Bioinformatics, 2009

Boosting Formal Concepts to Discover Classification Rules.

[BibT_eX]

[DOI]

Proceedings of the Next-Generation Applied Intelligence, 2009

Générer des règles de classification par dopage de concepts formels.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

2008

Une nouvelle approche du Boosting face aux données réelles.

[BibT_eX]

[DOI]

Emna Bahri

Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

2007

On Semantic Properties of Interestingness Measures for Extracting Rules from Data.

[BibT_eX]

[DOI]

Jamil Gammoudi

Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Classification supervisée de séquences biologiques basée sur les motifs et les matrices de substitution.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

Improving Boosting by Exploiting Former Assumptions.

[BibT_eX]

[DOI]

Emna Bahri

Nicolas Nicoloyannis

Proceedings of the Mining Complex Data, ECML/PKDD 2007 Third International Workshop, 2007

Biological Sequences Encoding for Supervised Classification.

[BibT_eX]

[DOI]

Proceedings of the Bioinformatics Research and Development, First International Conference, 2007

2006

On Statistical Measures for Selecting Pertinent Formal Concepts to Discover Production Rules from Data.

[BibT_eX]

[DOI]

Fatma Kaâbi

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Construction d'attributs pour l'extraction de connaissances à partir de séquences biologiques.

[BibT_eX]

[DOI]

Faouzi Mhamdi

Proceedings of the Apprentissage Artificiel et Fouille de Données, 2006

2005

New voting strategies designed for the classification of nucleic sequences.

[BibT_eX]

[DOI]

Mourad Elloumi

Knowl. Inf. Syst., 2005

A Formal Concept Analysis Approach to Discover Association Rules from Data.

[BibT_eX]

[DOI]

Proceedings of the CLA 2005 International Workshop on Concept Lattices and their Applications Olomouc, 2005

2004

Encoding of Primary Structures of Biological Macromolecules Within a Data Mining Perspective.

[BibT_eX]

[DOI]

Mourad Elloumi

J. Comput. Sci. Technol., 2004

Towards a machine learning approach based on incremental concept formation.

[BibT_eX]

[DOI]

Intell. Data Anal., 2004

2002

A data mining approach based on machine learning techniques to classify biological sequences.

[BibT_eX]

[DOI]

Mourad Elloumi

Knowl. Based Syst., 2002

1998

An Incrementa Learning System for Imprecise and Uncertain Knowledge Discovery.

[BibT_eX]

[DOI]

Samir Elloumi

Ali Jaoua

Inf. Sci., 1998

1996

Incremental Rule Production: Towards a Uniform Approach for Knowledge Organization.

[BibT_eX]