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Data mining algorithms, especially those used for unsupervised learning, generate a large quantity of rules. In particular this applies to the Apriori family of algorithms for the determination of association rules. It is hence impossible for an expert in the field being mined to sustain these rules. To help carry out the task, many measures which evaluate(More)
The application of multi-attribute utility theory whose aggregation process is based on the Choquet integral requires the prior identification of a capacity. The main approaches to capacity identification proposed in the literature are reviewed and their advantages and inconveniences are discussed. All the reviewed methods have been implemented within the(More)
The application of multi-attribute utility theory whose aggregation process is based on the Choquet integral requires the prior identification of a capacity. The main approaches to capacity identification proposed in the literature are reviewed and their advantages and inconveniences are discussed. All the reviewed methods have been implemented within the(More)
It is a common problem that Kdd processes may generate a large number of patterns depending on the algorithm used, and its parameters. It is hence impossible for an expert to assess these patterns. This is the case with the well-known Apriori algorithm. One of the methods used to cope with such an amount of output depends on using association rule(More)
Le nombreparticulì erement important de r` egles générées par les algorithmes utilisés en extraction de connaissancesà partir de données (Ecd) ne permet pas aux utilisateurs de faire eux-mêmes la sélection des r` egles pertinentes. Un desprobì emes centraux de l'Ecd est le dévelop-pement de mesuresévaluant l'intérêt des r` egles découvertes. Ainsi de(More)
— Unraveling transcriptional regulatory networks is essential for understanding and predicting cellular responses in different developmental and environmental contexts. Information-theoretic methods of network inference have been shown to produce high-quality reconstructions because of their ability to infer both linear and non-linear dependencies between(More)
This paper aims at reexamining the construction of indicators of standards of living, by focussing on the challenges raised by the subjec-tivity and the multidimensionality of living conditions. For that purpose , we propose to apply Choquet integral-based multiattribute value theory to the elicitation, from rankings of multiattribute hypothetical(More)
This paper presents a multiple criteria decision aiding approach in order to build a ranking and suggest a choice 2 on a set of alternatives. The partial evaluations of the alternatives on the points of view can be fuzzy numbers. The aggregation is performed through the use of a fuzzy extension of the Choquet integral. We detail how to assess the parameters(More)
CONTEXT The circadian clock represents the body's molecular time-keeping system. Recent findings revealed strong changes of clock gene expression in various types of human cancers. OBJECTIVE Due to emerging evidence on the connection between the circadian oscillator, cell cycle, and oncogenic transformation, we aimed to characterize the circadian(More)