Sentence examples for data processing when from inspiring English sources

This study provides a pre-process guidance for the real-world surface-wave data processing when the recorded shot gather contains inevitable bad traces.

We then compared these results (station coordinates and polar motion) with those obtained in regular data processing when using DORIS data from all four available satellites in 2005.

Atlas2 may be an accessible alternative for data processing when a rapid solution for variant calling is required.

Dependent variables were dropped from further data processing, when they were not adding discriminative power to the cluster analysis (i.e. they were equally expressed in both clusters).

MapReduce's strengths in data processing, when coupled with Hadoop's strengths in data and computational locality, task delegation, and aggregation strategies over key-indexed information, provide significant constant time improvements, with a near-linear speedup bounded only by the number of nodes in a compute cluster.

The results showed that an optimisation in the execution time allowed for a near-immediate response in data processing even when dealing with large data sets.

Data for the S-WPIA are stored on the MDR, and data processing begins when the S-WPIA receives a command specifying the time interval of the subject to be applied to the calculations of the S-WPIA.

Second, they could learn skills related to data processing, especially when dealing with dozens of stocks.8 Third, introducing various term topics widens a student's horizon, since many term projects came from seminal papers.

Big Data initiatives are therefore ideally predicated on a stakeholder model in which policies for sharing will be enhanced and publicized with reports on the number of views, downloads and derived data processing, and when their data is being accessed and by whom, among other benefits and services.

These reasons include non-compliance with MIAME [ 27] and complications in statistical methods of data processing, particularly when the studies have used different microarray platforms [ 7].

However, the biggest user benefits for data processing come when complete workflows can be run within Galaxy, as in the examples shown.