Sentence examples for data analytical tasks from inspiring English sources

The quality-aware extensions and features are extremely useful when users need to assess the quality of relational data sets and define quality constraints for acceptable data prior to using candidate data sources in decision support systems and conducting big data analytical tasks.

While the GOF test is expected to become a useful analytical tool, it does also, in the opinion of the authors, have considerable value as a proof-of-concept that the data analytical tasks encountered in the analysis of LC-MS data can, in at least some cases, be addressed using a mathematically more rigorous approach.

And, even if companies are lucky enough to find qualified grads, the increased data and analytical tasks facing many sales forces mean that productivity ramp-up times have increased.

The developer researcher gap can be addressed with benchmarking studies, which inform the research community about the most appropriate tools for specific analytical tasks and data types4,5.

These studies use gold standard data sets to serve as a ground truth and well-defined scoring metrics to assess the performance and accuracy of each tool when applied to a variety of analytical tasks and data types.

Besides browsing, searching for various data of interest, and carrying out analytical tasks (see below), users can download the Annotators Database, which includes all of the annotated data elements and experiments as a sql dump file to perform their own analysis, as well as the Annotators Database Schema Description, and Alignments of Binding Site through the 'Download' page.

The seamless consolidation, potential harmonization, and then composite value-added encoding of feature data attributes in the VMap0 and possibly the DCW denote the minimum tasks which should be considered regarding the utilization of these data libraries in support of the generalized base mapping and potential analytical tasks envisioned for the FAO-FGGD and any virtual UN database.

Graphics are included in most analytical tasks.

In fact, both of these analytical tasks contribute to driving action and value from your data just at different stages in the analysis process.

Each of these analytical tasks would require a different algorithm.

Although these analytical tasks fall neatly within statistical learning and pattern recognition (Jain et al, 2000), there is nothing conventional about these tasks for microarray data analysis.