Sentence examples for mining and management from inspiring English sources

In the example used in section case 3: data mining and management (Figure 3), the use of asynchronous processes was the proper solution for achieving the required availability.

The example of large data mining (discussed in section case 3: data mining and management) shows the challenge of organizing data in various tables.

In the case presented in section case 3: data mining and management section, performance was dramatically improved after deploying dynamic data migration among the tables of the database.

The requirements of the complex system presented in section case 3: data mining and management section were established by all parties involved: the end user, the architects, the software engineers, and the testing engineers.

While the English Mine used superior mining and management techniques on a richer lode, the American Mine suffered from insufficient space and lack of water for ore weathering.

HLC and XNY conceived of the study, participated in all the bioinformatics analysis, including the sequence alignment and phylogeny analysis and drafted the manuscript; YLC helped in bioinformatics analysis, data mining and management; XQL and YW conceived the idea of identification of three full-length of CYP97 genes and designed the study; ZPL and SQ guided the writing of the manuscript.

We did not violate the Chinese fossil collection and mining laws and management regulations.

That drove a pick-up for the wider industrial sector, which also includes utilities, mining and waste management.

For example: -- ADVERTISE MORE EFFECTIVELY FOREIGN-FRIENDLY INVESTMENT OPPORTUNITIES IN CHINA, especially those that are already with PRC encouragement and which are tied to follow-on U.S. goods exports (current examples include mining and logistics management).

These include evolutionary biology and population genetics inquiries, QTL mapping and gene discovery, allele mining and germplasm management, and pre-breeding and variety development, among others.

The data mining and network management research communities are interested in improving existing score-based network traffic anomaly detection techniques because of ample scopes to increase performance.