Sentence examples for mining to detect from inspiring English sources

In this paper, the rules are generated using association rule mining to detect phishing URL.

Other researchers have opted for the use of artificial intelligence and data mining to detect the phishing websites.

These results demonstrate the utility of data mining to detect significant vaccine-associated events at early date.

Later, Nikfarjam and Gonzalez [ 26] extended the above work by applying association rule mining to detect prevalent patterns concerning opinions about drugs.

Despite the use of extensive text-mining vocabularies, the ability of text mining to detect key words or terms and relationships in complex sentences with large separations between primary search terms, or studies that use non-standard keyword synonyms not seen in clinical QT reports means that some drugs will go undetected.

As the years pass and such data continue to be stored in computer banks, the forms can be mined to detect long-term spending patterns, which may provide a picture of how efficient and effective a charity is.

We posit that off-target read depth is a rich, but overlooked, source of information that could be mined to detect intergenic copy number variation (CNV).

These super-sentinel chickens will serve as sensitive early detectors of LPAI, like the proverbial canary used in mines to detect low levels of toxic gases.

We postulate that off-target data are a rich, but overlooked, source of information that could be mined to detect intergenic CNV.

To assess whether the data could be mined to detect genic targets of selection, we estimated the rates of nonsynonymous to synonymous (dN/dS) mutation between the diploid A2 and D5 genomes and the allotetraploid AT and DT genomes.

To mitigate such sophisticated attacks, Kitts et al. [11] discussed how to design a data mining system to detect large-scale click fraud attacks.