Sentence examples for Missing datasets from inspiring English sources

Notably, Onuoha's art and activism piece, "The Library of Missing Datasets," — a repository of excluded data — offers a physical incarnation of this concept by showcasing an empty set of tabbed folders in a filing cabinet.

Onuaha describes her 2016 work "The Library of Missing Datasets" as an "ongoing physical repository of things that have been excluded in a society where so much is collected". Klein elaborated on the idea of data as the "new oil," an untapped resource that needs to be refined, drains energy and, notably, is in the hands of a small class of data oligarchs (e.g., Microsoft, Google, Facebook).

MICE is a practical approach for imputing missing datasets based on a set of imputation models, given that there is one model for each variable with missing values.

The process of QA/QC is performed to locate any missing datasets and errors performed during data recording.

For the first replicate of simulated missing datasets, whenever a dataset was imputed, the number of seconds required for imputation to be completed using one central processing unit was recorded.

Therefore, there might be differences in the treatment trends during the study periods; however, the gap between the periods was only 1 year; also, the same ICU policy was applied to the patients in a single center, the patients in this study experienced no differences in ICU care, such as the decision-making process for CRRT, and there were few missing datasets.

She closed by reminding the audience that "every missing dataset is benefiting someone by not existing," but that examining who benefits, and therefore "who counts," is a goal we as a community can contribute to in our research, our classrooms and our daily lives.

The missing dataset entries correspond to cases where EVOMINER took more than 10000 seconds.

To remedy the missing dataset, we deployed known binding information for σ from the public database [ 25].

We were not able to obtain dataset for σ, and the missing dataset was supplemented by incorporating 65 σ promoter regions from RegulonDB [ 6].

Firstly, RMI aims to build a recursive mutual process by assembling two single methods, BPCA and LLS, which can exploits global correlation information and local structure in the missing dataset as full as possible.