Sentence examples for managing datasets from inspiring English sources

In this paper, we evaluate the HDC׳s interface features for managing datasets using data provided by users from the materials engineering and human genetics domains.

Ram (2013) recommends git as tool for managing datasets to facilitate greater reproducibility.

While there are a number of things to improve upon (as always) and a few points requiring clarification, the project is a nice addition to the BioJS library and may provide a useful data visualization option when deployed with a complementary set of web tools for selecting pathways, managing datasets and viewing details.

But given the scope and the varying levels of maturity, is there a danger that despite having visibility through the portal that each country will have its own ideas and approach to publishing and managing datasets?

Specifically, they take account of a variety of environmental and socio-economic factors, and integrate and manage datasets with different forms and scales.

CoolMap can manage datasets of 8000 × 8000 data points and shows the Pearson's correlation coefficient in a heat map-like format.

This chapter discusses the novel database schema to help neuroscientists in managing complex datasets and implementation that allow datasets from diverse labs to be stored coherently in a single framework.

There is a need to manage such large volumes of data and to cluster them easily for data analytics while minimizing maximum inter-cluster distances and managing large datasets.

Overall, Kindura was seen as a viable replacement to existing systems for managing smaller datasets of a large number of institutional users, rather than as a system for high-volume scientific work.

Each peer contains an independent CBR component and exploits knowledge resources in parallel; the system therefore enhances the performance of managing huge datasets on various peers and the quality of various output solutions.

The fourth EFC is an extension of a multi-objective evolutionary learning (MOEL) scheme we have recently proposed for managing imbalanced datasets: the rule base and the membership function parameters of a set of FRBCs are concurrently learned by optimizing the sensitivity, the specificity and the complexity.