A user-driven and quality-oriented visualization for mining association rules, Third IEEE International Conference on Data Mining, pp.493-496, 2003. ,
DOI : 10.1109/ICDM.2003.1250960
URL : https://hal.archives-ouvertes.fr/hal-00461397
Evolutionary Algorithms for Solving Multi-Objective Problems of Genetic Algorithms and Evolutionary Computation, 2002. ,
Graph drawing ? Algorithms for the visualization of graphs, 1999. ,
Preserving the mental map of a diagram, Proc. of Compugraphics, pp.24-33, 1991. ,
Crossing Number is NP-Complete, SIAM Journal on Algebraic Discrete Methods, vol.4, issue.3, pp.312-316, 1983. ,
DOI : 10.1137/0604033
Une version entropique de l'intensité d'implication pour les corpus volumineux, Extraction et Gestion des Connaissances (EGC), vol.1, issue.12, pp.69-80, 2001. ,
Structuration de comportements de réponse à un questionnaire par des méthodes multidimensionnelles, Extraction et Gestion des Connaissances (EGC), vol.17, pp.1-3, 2003. ,
Quality measures for Data Mining, 2007. ,
Visualization of directed associations in e-commerce transaction data, Proc. of VisSym, pp.185-192, 2001. ,
DOI : 10.1007/978-3-7091-6215-6_20
Visual Comparison of Association Rules, Computational Statistics, vol.16, issue.3, pp.399-415, 2001. ,
DOI : 10.1007/s001800100075
A support system for interpreting statistical data, Knowledge Discovery in Databases, pp.325-345, 1991. ,
A User-Driven Process for Mining Association Rules, Proc. of PKDD, pp.483-489, 2000. ,
DOI : 10.1007/3-540-45372-5_55
Découverte interactive de règles d'association via une interface visuelle, Numéro spécial Visualisation en Extraction des Connaissances, Volume RNTI-E-7 of Revue des Nouvelles Technologies de l'Information (RNTI), pp.113-125, 2006. ,
Minimizing crossings in hierarchical digraphs with a hybridized genetic algorithm, Journal of Heuristics, vol.11, issue.2, pp.23-36, 2006. ,
DOI : 10.1007/s10732-006-4296-7
URL : https://hal.archives-ouvertes.fr/inria-00335904
Dynamic Graph Drawing with a Hybridized Genetic Algorithm, Automatic Computing in Design and Manufacture VI, pp.365-375, 2004. ,
DOI : 10.1007/978-0-85729-338-1_31
URL : https://hal.archives-ouvertes.fr/inria-00335944
Which aesthetic has the greatest effect on human understanding?, Proc. Graph Drawing'97, pp.248-261, 1997. ,
DOI : 10.1007/3-540-63938-1_67
Effective information visualisation: a study of graph drawing aesthetics and algorithms, Interacting with Computers, vol.13, issue.2, pp.147-162, 2000. ,
DOI : 10.1016/S0953-5438(00)00032-1
Visualisation of Temporal Interval Association Rules, Proc. of the 2 nd Int. Conf. on intelligent data engineering and automated learning, pp.91-96, 2000. ,
DOI : 10.1007/3-540-44491-2_14
Information Visualization, 2000. ,
DOI : 10.1007/978-3-319-07341-5
URL : https://hal.archives-ouvertes.fr/hal-01414610
Handling very large numbers of association rules in the analysis of microarray data, Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '02, pp.396-404, 2002. ,
DOI : 10.1145/775047.775104