Mining convex polygon patterns with formal concept analysis

A Belfodil, SO Kuznetsov, C Robardet… - The Twenty-Sixth …, 2017 - hal.science
Pattern mining is an important task in AI for eliciting hypotheses from the data. When it
comes to spatial data, the geo-coordinates are often considered independently as two …

[PDF][PDF] An analysis of subgroup discovery quality measures

LW Rizkallah, NM Darwish - Journal of engineering and applied …, 2019 - researchgate.net
Subgroup discovery is a problem in machine learning and data mining in which the
population data is mined to discover interesting subgroups with respect to a target property …

FDG-SD: a new hybrid technique for solving subgroup discovery problem

LW Rizkallah, S Hamouda… - Fuzzy Systems and Data …, 2019 - ebooks.iospress.nl
Subgroup discovery is a problem in machine learning and data mining in which the
population data is mined to discover interesting subgroups with respect to a target property …

Mining frequent patterns in 2d+ t grid graphs for cellular automata analysis

R Deville, E Fromont, B Jeudy, C Solnon - International Workshop on …, 2017 - Springer
A 2D grid is a particular geometric graph that may be used to represent any 2D regular
structure such as, for example, pixel grids, game boards, or cellular automata. Pattern …

Spatio-temporal grid mining applied to image classification and cellular automata analysis

R Deville - 2018 - theses.hal.science
During this thesis, we consider the exhaustive graph mining problem for a special kind of
graphs: the grids. Theses grids can be used to model objects that present a regular …

Découverte de sous-groupes avec les arbres de recherche de Monte Carlo

G Bosc, JF Boulicaut, C Raïssi… - Extraction et Gestion de …, 2017 - hal.science
Découvrir des règles qui distinguent clairement une classe d'une autre reste un problème
difficile. De tels motifs permettent de suggérer des hypothèses pouvant expliquer une …

[引用][C] A Framework for Finding Patterns in Mixed and Streaming Data

R Khade - 2019