Sentence examples for data mining opportunities from inspiring English sources

It discusses Microsoft strategy and organization, the new features that have been introduced into SQL 2000, and the role of OLE DB in data mining for creating new data mining opportunities by opening the Microsoft technology and architecture to third-party developers.

No matter which discipline generates Big Data, it must be transferred, stored, processed, and archived for reproduction of results as well as unforeseen data mining opportunities.

Our results illustrate that the integration of array-based profiling at DNA, RNA and tissue levels is a powerful strategy in the identification of amplified genes with simultaneous overexpression, and highlights the significance of in silico data mining opportunities in providing further evidence of putative activated genes involved in cancer progression.

It will be a sales pitch of epic proportions, because it will be a cash stream and data mining opportunity of epic proportions.

We now spend so much of our time online that we are creating huge data-mining opportunities".

Microsoft's interest in the platform seems to rise partly from data-mining opportunities and partly from the possible gains it offers in productivity: you can be working on a project on your desktop, but in touch with an expert from across the globe.

The ad-targeting experiments by Verizon and AT&T are striking examples of the data-mining opportunities open to phone carriers now that they have become the nexus of the information universe, providing a connection to the Internet for people anywhere they go, at any time.

Large-scale exome sequencing data repositories, such as The Cancer Genome Atlas (TCGA), the 1000 Genomes Project, National Heart ,Lung, and Blood Institute (NHLBI) Exome Sequencing Project, and The Sequence Reads Archive, provide researchers with excellent secondary data-mining opportunities to study genomic data beyond the intended target regions.

As the multiplex systems level approach described here increases in terms of automation and speed, the resultant avalanche of terabytes of image data per experiment will provide unprecedented data-mining opportunities, and challenges.

All of the data-mining opportunities outlined above also face the challenges of protecting privacy.

For the purposes of agent-based modeling tools such as DSSW, we are more concerned with data-mining opportunities that provide a means of collecting behavioral (spatial) patterns of movement that can be used as empirical inputs augmenting the simulation.