Corpus ID: 20088377

Utilisation des treillis de Galois pour l'extraction et la visualisation des règles d'association spatiales

  title={Utilisation des treillis de Galois pour l'extraction et la visualisation des r{\`e}gles d'association spatiales},
  author={Rabia Marghoubi and Karine Zeitouni and Azedine Boulmakoul},
1 Faculté des Sciences Technique de Mohammedia (FSTM), B.P. 146 Mohammedia, Maroc. 2 Agence Nationale de Réglementation des Télécommunications (ANRT), Complexe d’Affaires aile sud Ar-ryad, Hay riad 10100, BP 2939 Rabat Maroc 3 Laboratoire PRiSM, Universite de Versailles,45 avenue des Etats-Unis,78035 Versailles Cedex France. E-mail:{;, } 
Modélisation et structuration des connaissances dans les processus de télémédecine dédiés aéronautique. (Knowledge Modeling in Telemedicine Processes for In-flight Medical Incident Management)
Nous proposons tout d'abord une formalisation semantique basee sur les ontologies pour preciser conceptuellement le vocabulaire des incidents medicaux se produisant durant les vols commerciaux. Expand
Belbachir Spatial Data Mining by Decision Trees
Existing methods of data mining cannot be applied on spatial data because they require spatial specificity consideration, as spatial relationships. This paper focuses on the classification withExpand
Spatial Data Mining by Decision Trees
This paper proposes an extension of the C4.5 algorithm for spatial data, based on two different approaches Join materialization and Querying on the fly the different tables, which is applied to a spatial data pattern in the accidentology domain. Expand
Spatial Data Mining by Decision Trees
Existing methods of data mining cannot be applied on spatial data because they require spatial specificity consideration, as spatial relationships. This paper focuses on the classification withExpand
Closed frequent itemsets mining and structuring association rules based on Q-analysis
A formal framework for the problem of mining closed frequent itemsets, where theoretical foundation is based on the algebraic topology-theoretic framework, which can be used to organize association rules by means of metarules is described. Expand
Meta-Modeling And Structural Paradigm For Strategic Alignment Of Information System
This work proposes to build an extension of the meta-model ISO 19440, so that it can explicitly bring the issue of alignment of various aspects of the information system to the forefront. Expand
Strategic Information System Alignment is considered as one of the main pillars of the information systems governance in the company. In this paper, we propose the deployment of a holistic approachExpand


Extraction de bases pour les règles d'association à partir des itemsets fermés fréquents
Two new bases for association rules are defined, which are generating sets for all valid association rules, their supports and their confidences, and consist of the non-redundant association rules of minimal antecedents and maximal consequents, i.e. the most relevant association rules. Expand
A progressive refinement approach to spatial data mining
The concept of spatial association rules are introduced and efficient algorithms for mining spatial associations and for the classification of objects stored in geographic information databases are presented. Expand
Discovery of Spatial Association Rules in Geographic Information Databases
An efficient method for mining strong spatial association rules in geographic information databases is proposed and studied and shows that interesting association rules can be discovered efficiently in large spatial databases. Expand
Exploratory mining and pruning optimizations of constrained associations rules
An architecture that opens up the black-box, and supports constraint-based, human-centered exploratory mining of associations, and introduces and analyzes two properties of constraints that are critical to pruning: anti-monotonicity and succinctness. Expand
An Application of Association Rules Discovery to Geographic Information Systems
An algorithm that extends existing methods to deal with spatial and non-spatial data over multiple layers is proposed, which handles hierarchical, multi-valued attributes, and produces general spatial association rules. Expand
Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes
A novel approach to metarule-guided, multi-dimensional association rule mining which explores a data cube structure and proposes an efficient method for precomputing the cube, which takes into account the constraints imposed by the given meetarule. Expand
Query flocks: a generalization of association-rule mining
The general idea, called “query flocks,” is a generate-and-test model for data-mining problems and is shown how the idea can be used either in a general-purpose mining system or in a next generation of conventional query optimizers. Expand
Finding interesting rules from large sets of discovered association rules
It is shown how a simple formalism of rule templates makes it possible to easily describe the structure of interesting rules, and how a visualization tool interfaces with rule templates. Expand
Meta-Rule-Guided Mining of Association Rules in Relational Databases
  • Yongjian Fu, Jiawei Han
  • Computer Science
  • 1995
A metarule guided data mining approach is proposed and studied which applies metarules as a guidance at nding multiple-level association rules in large relational databases and is powerful and eecient in data mining from large databases. Expand
Why can concept lattices support knowledge discovery in databases?
  • R. Wille
  • Computer Science
  • J. Exp. Theor. Artif. Intell.
  • 2002
Knowledge discovery should be understood as information discovery combined with knowledge creation. The creation of knowledge from information can be promoted by proper representations of informationExpand