Sentence examples for mining the database from inspiring English sources

It has long been known that one aspect of the Bush administration's program of surveillance without court oversight involved vacuuming up communications metadata and mining the database to identify associates — called a "community of interest" — of a suspected terrorist.

Then we provide examples of mining the database for information relevant to protein folding, structure building, the effect of single-nucleotide polymorphisms, and drug design.

The website offers different sophisticated interfaces for searching and mining the database by multiple criteria.

Third, a set of statistical and mining tools is equipped for analyzing and mining the database.

A few examples of targeted questions potentially answerable by mining the database include: a) the association of resuscitative fluids and AKI, b) delineation of predictive and associated factors between transient versus persistent AKI, c) the independent outcomes of fluid overload and oliguria in all critically ill patients, and the d) associations and outcomes of subclinical-AKI.

Another possible approach to the surprise function for the dual-mining method is through a Bayesian method, where the prior probabilities are constructed by mining the knowledgebase, and the posterior probabilities are estimated by updating the prior measures through mining the database, or vice versa.

We mined the database for genes involved in the ER stress response and compared them with the expression of genes involved in innate immunity (TLRs and scavenger receptors) and resident ER proteins that are not regulated by ER stress.

In his book, he says search engines are mining the priceless "database of intentions" formed by the world's search requests.

AGENDA complements the existing bioinformatics tools for mining the GO database and provides new functions for accessing GO information.

All intranasal/sinus cultures obtained by otolaryngologists at Stanford over a 20-year period (1990 2010) were retrospectively reviewed by mining the microbiology database.

The text mining similarity is computed by mining the curated database, such as OMIM and MEDLINE, using a co-occurrence scheme and a natural language processing approach (Jensen et al., 2006; Šarić et al., 2006).