Mondher Maddouri

According to our database1, Mondher Maddouri authored at least 38 papers between 1996 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Efficiently Mining Recurrent Substructures from Protein Three-Dimensional Structure Graphs.
Journal of Computational Biology, 2019

Cloud Implementation of Classier Nominal Concepts using DistributedWekaSpark.
Proceedings of the Supplementary Proceedings of ICFCA 2019 Conference and Workshops, 2019

An experimental survey on big data frameworks.
Future Generation Comp. Syst., 2018

A Comparative Study on Streaming Frameworks for Big Data.
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).
Proceedings of the Actes de la Conférence Nationale d'Intelligence Artificielle et Rencontres des Jeunes Chercheurs en Intelligence Artificielle (CNIA+RJCIA 2018), 2018

A New Feature Selection Method for Nominal Classifier based on Formal Concept Analysis.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017

Prediction of Ionizing Radiation Resistance in Bacteria Using a Multiple Instance Learning Model.
Journal of Computational Biology, 2016

New Taxonomy of Classification Methods Based on Formal Concepts Analysis.
Proceedings of the 5th International Workshop "What can FCA do for Artificial Intelligence"? co-located with the European Conference on Artificial Intelligence, 2016

Density-based data partitioning strategy to approximate large-scale subgraph mining.
Inf. Syst., 2015

Cost Models for Distributed Pattern Mining in the Cloud.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Un partitionnement basé sur la densité de graphe pour approcher la fouille distribuée de sous-graphes fréquents.
Technique et Science Informatiques, 2014

Parallel Learning and Classification for Rules based on Formal Concepts.
Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014

Computational phenotype prediction of ionizing-radiation-resistant bacteria with a multiple-instance learning model.
Proceedings of the 12th International Workshop on Data Mining in Bioinformatics, 2013

Diversity Analysis on Boosting Nominal Concepts.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Feature extraction in protein sequences classification: a new stability measure.
Proceedings of the ACM International Conference on Bioinformatics, 2012

Vers un critère d'arrêt de Boosting basé sur la diversité des classifieurs.
Proceedings of the Actes du XXIXème Congrès INFORSID, Lille, France, 24-25 mai 2011, 2011

Protein sequences classification by means of feature extraction with substitution matrices.
BMC Bioinformatics, 2010

Adaptive Learning of Nominal Concepts for Supervised Classification.
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.
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

Apprentissage supervisé adaptatif de Concepts Formels à partir des données nominales.
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.
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

A Hybrid Approach of Boosting Against Noisy Data.
Proceedings of the Mining Complex Data, 2009

Comparing graph-based representations of protein for mining purposes.
Proceedings of the ACM SIGKDD Workshop on Statistical and Relational Learning in Bioinformatics, 2009

Boosting Formal Concepts to Discover Classification Rules.
Proceedings of the Next-Generation Applied Intelligence, 2009

Générer des règles de classification par dopage de concepts formels.
Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

Une nouvelle approche du Boosting face aux données réelles.
Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

On Semantic Properties of Interestingness Measures for Extracting Rules from Data.
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.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

Improving Boosting by Exploiting Former Assumptions.
Proceedings of the Mining Complex Data, ECML/PKDD 2007 Third International Workshop, 2007

Biological Sequences Encoding for Supervised Classification.
Proceedings of the Bioinformatics Research and Development, First International Conference, 2007

On Statistical Measures for Selecting Pertinent Formal Concepts to Discover Production Rules from Data.
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.
Proceedings of the Apprentissage Artificiel et Fouille de Données, 2006

New voting strategies designed for the classification of nucleic sequences.
Knowl. Inf. Syst., 2005

Encoding of Primary Structures of Biological Macromolecules Within a Data Mining Perspective.
J. Comput. Sci. Technol., 2004

Towards a machine learning approach based on incremental concept formation.
Intell. Data Anal., 2004

A data mining approach based on machine learning techniques to classify biological sequences.
Knowl.-Based Syst., 2002

An Incrementa Learning System for Imprecise and Uncertain Knowledge Discovery.
Inf. Sci., 1998

Incremental Rule Production: Towards a Uniform Approach for Knowledge Organization.
Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1996