New OLAP operators for missing data

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

GAW15 simulated data on which we removed some genotypes to generate different levels of missing data, we show that this strategy might lead to an important loss in power to

Given a regression problem with training data having missing values in the observations we obtained the nominal regression function by training a Support Vector

We propose a novel method for missing data reconstruction based on three main steps: (1) computing a fuzzy similarity measure between a segment of the time

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

(We did not study the uncer- tainty due to parton distribution functions, but it is ex- pected to be small as well.) Our study used the Frixione isolation criterion to compute

Definition 1: This operator allows displaying cube data that correspond to a fact and several dimensions according to an analysis time interval.. Every quadruplet is constituted by

In the specialized taxonomic journals (4113 studies), molecular data were widely used in mycology, but much less so in botany and zoology (Supplementary Appendix S7 available on