Laszlo Szathmary

发表

Scientific Foundations - The Semantic Web

Mathieu d'Aquin, Emmanuel Nauer, Rim Al Hulou, 2003 .

A fast compound algorithm for mining generators, closed itemsets, and computing links between equivalence classes

Amedeo Napoli, Petko Valtchev, Alix Boc, 2013, Annals of Mathematics and Artificial Intelligence.

Une brève présentation du système de fouille de données Coron

Amedeo Napoli, Laszlo Szathmary, Mehdi Kaytoue-Uberall, 2012, EGC.

Finding Minimal Rare Itemsets in a Depth-first Manner

Amedeo Napoli, Petko Valtchev, Robert Godin, 2012, FCA4AI@ECAI.

Efficient Vertical Mining of Minimal Rare Itemsets

Amedeo Napoli, Petko Valtchev, Robert Godin, 2012, CLA.

An Efficient Hybrid Algorithm for Mining Frequent Closures and Generators

Amedeo Napoli, Petko Valtchev, Robert Godin, 2008 .

A proposition for a multi-dimensional classification-based system for corporate knowledge management

Laszlo Szathmary, L. Szathmary, 2002 .

CORON: A Framework for Levelwise Itemset Mining Algorithms

Amedeo Napoli, Laszlo Szathmary, 2005 .

Towards Rare Itemset Mining

Amedeo Napoli, Petko Valtchev, Laszlo Szathmary, 2007 .

Coron : Plate-forme d'extraction de connaissances dans les bases de données pdf

Amedeo Napoli, Mehdi Kaytoue-Uberall, Laszlo Szathmary, 2011, ArXiv.

Impact of Feature Selection on Non-technical Loss Detection

Muhammad Imran, Laszlo Szathmary, Atta Ullah, 2020, 2020 6th Conference on Data Science and Machine Learning Applications (CDMA).

Efficient Vertical Mining of Frequent Closed Itemsets and Generators

Amedeo Napoli, Petko Valtchev, Laszlo Szathmary, 2009 .

E-Tourism Portal: A Case Study in Ontology-Driven Development

Hafedh Mili, Petko Valtchev, Anis Boubaker, 2011, MCETECH.

Preface to the special issue on concept lattices and their applications—CLA 2012

Uta Priss, Laszlo Szathmary, 2014, Annals of Mathematics and Artificial Intelligence.

Performance analysis of machine learning classifiers for non-technical loss detection

Muhammad Imran, Rabeeh Ayaz Abbasi, Ata Ullah, 2020 .

Efficient Vertical Mining of Frequent Closures and Generators

Amedeo Napoli, Petko Valtchev, Robert Godin, 2009, IDA.

Scientific Foundations - Knowledge Representation and Knowledge Systems

Florence Le Ber, Mathieu d'Aquin, Jean Lieber, 2003 .

Knowledge Organisation and Information Retrieval with Galois Lattices

Amedeo Napoli, Laszlo Szathmary, A. Napoli, 2004, EKAW.

Case Base Mining for Adaptation Knowledge Acquisition pdf

Mathieu d'Aquin, Amedeo Napoli, Jean Lieber, 2007, IJCAI.

Scientific Foundations - Knowledge Discovery in Databases

Jean-François Mari, Florence Le Ber, Jean Lieber, 2006 .

Towards Rare Itemset Mining

Amedeo Napoli, Petko Valtchev, Laszlo Szathmary, 2007, 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007).

Vers l'extraction de motifs rares

Amedeo Napoli, Yannick Toussaint, Laszlo Szathmary, 2006, EGC.

Fouille de données biomédicales : apports des arbres de décision et des règles d'association à l'étude du syndrome métabolique dans la cohorte STANISLAS

Amedeo Napoli, Laszlo Szathmary, Sandy Maumus, 2005, CAP.

Adaptation Knowledge Discovery from a Case Base pdf

Mathieu d'Aquin, Amedeo Napoli, Jean Lieber, 2006, ArXiv.

Generating Rare Association Rules Using the Minimal Rare Itemsets Family

Amedeo Napoli, Petko Valtchev, Laszlo Szathmary, 2010, Int. J. Softw. Informatics.

Symbolic Data Mining Methods with the Coron Platform. (Méthodes symboliques de fouille de données avec la plate-forme Coron)

Laszlo Szathmary, Laszlo Szathmary, 2006 .

Towards a global methodology for mining cohorts with biological and genetic data

Amedeo Napoli, Sophie Visvikis-Siest, Laszlo Szathmary, 2005 .

First Elements on Knowledge Discovery Guided by Domain Knowledge (KDDK)

Amedeo Napoli, Jean Lieber, Yannick Toussaint, 2006, CLA.

ZART: A Multifunctional Itemset Mining Algorithm

Amedeo Napoli, Sergei O. Kuznetsov, Laszlo Szathmary, 2007, CLA.

Knowledge Discovery from a Case Base

Mathieu d'Aquin, Amedeo Napoli, Jean Lieber, 2006, ECAI.

Knowledge organisation and information retrieval based on Galois lattices

Amedeo Napoli, Laszlo Szathmary, 2004 .

The Coron System pdf

Amedeo Napoli, Mehdi Kaytoue-Uberall, Jean Villerd, 2011, ArXiv.

Performance Analysis of Different Types of Machine Learning Classifiers for Non-Technical Loss Detection

Muhammad Imran, Ata Ullah, Laszlo Szathmary, 2020, IEEE Access.

Finding Minimal Rare Itemsets and Rare Association Rules

Amedeo Napoli, Petko Valtchev, Laszlo Szathmary, 2010, KSEM.

Scientific Foundations - Knowledge Representation, Knowledge Systems and Semantic Web

Florence Le Ber, Emmanuel Nauer, Jean Lieber, 2006 .

A unified descriptive method for analysing artificial cranial deformation from a palaeopathological perspective

Laszlo Szathmary, László Szűcs, Monika Molnar, 2019, Archaeological and Anthropological Sciences.

Ontology‐based model‐driven development of a destination management portal: Experience and lessons learned

Hafedh Mili, Petko Valtchev, Anis Boubaker, 2018, Softw. Pract. Exp..

Efficient Mining of Frequent Closures with Precedence Links and Associated Generators

Amedeo Napoli, Laszlo Szathmary, Petko Valtchev, 2008 .

Yet a Faster Algorithm for Building the Hasse Diagram of a Concept Lattice

Petko Valtchev, Robert Godin, Jaume Baixeries, 2009, ICFCA.

Fast Mining of Iceberg Lattices: A Modular Approach Using Generators

Amedeo Napoli, Petko Valtchev, Robert Godin, 2011, CLA.

Constructing Iceberg Lattices from Frequent Closures Using Generators

Amedeo Napoli, Petko Valtchev, Robert Godin, 2008, Discovery Science.

Treating Class Imbalance in Non-Technical Loss Detection: An Exploratory Analysis of a Real Dataset

Muhammad Imran, Muhammad Awais, . Fazal-E-Amin, 2021, IEEE Access.