Data Mining

We used the simulated data of Genetic Analysis Workshop 15 (Problem 3, answer known) to assess the power of the phylogeny-based analysis to detect disease susceptibility loci

To overcome the missing data problem, we provide in this paper an extension of classical Drilldown and Rollup operators in order to support analyses on multidimensional

The Manufacturing Services Network Models Project aims to provide cutting-edge semantic model development and an evolution methodology that allows for rigorous development

We allow the modeling of the joint progression of fea- tures that are assumed to offer different evolution profile, and handle the missing values in the context of a generative

Thus, anyone wishing to use EM correlations (or covariances) as matrix input for the FACTOR or RELIABILITY procedures has some preliminary work to do: They

(2) NM-MI with dummy-coded cluster variables (fixed cluster structure); and (3) a hybrid NM-MI which imputes half the time ignoring the cluster structure, and

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

We consider the problem of missing data when the mechanism of missingness is not at random and when the partially observed vari- able has known or observed moments.. A