Sentence examples for mining for information from inspiring English sources

It was interested in mining for information about the Mail's business model".

You follow its progress scrupulously, listening over the fence, staring from across the road, mining for information on its completion like a one-man espionage unit.

State-of-the-art but validated technologies (e.g., data mining) for information acquisition and management of mega-database should be used [ 40].

Researchers are using these pools of big data to mine for information in search of new tools to help find ways to screen and identify disease and other health risks earlier.

IN PURSUIT OF COHEN, ONE DEAD END  |  The government's investigation of suspicious trading at SAC Capital Advisors has relied on lower-level employees who are mined for information about the firm's boss, Steven A. Cohen.

And most of my memories of him are of his constant conversations with friends, colleagues and acquaintances, whom he mined for information on the inside story of what was happening in the countries they came from, digging out dirt on the governance of the game around the world.

The Feds — the NSA would seem the most logical agency —then analyze the data to mine for information they deem of interest.

What is referred to here as inverse problems are actually a very broad field that encompasses any study where data is gathered and mined for information.

The figures themselves (Figure 1) contain information that only a human could attribute meaning to (the figures could not for example be automatically mined for information in the manner that eg the OSCAR project [20] has demonstrated).

Indeed the speed and accuracy with which these large datasets can be effectively mined for information that is relevant and valuable can have a significant effect on company performance.

For example, text corpora or newswire might be mined for information about companies, by keying in on known company names and terms such as "Corp ., ".com", "headquartered at", and "annual revenue of", as well as parts of speech and dependency relations, and matching regular-expression patterns against local text segments containing key phrases or positioned close to them.