Sentence examples for detecting credit from inspiring English sources
Beyond these programs, additionally, there exist all the data-mining applications currently employed in the private sector for purposes like detecting credit card fraud or predicting health risks for insurance.
SAS software, down to its own programming language, is used by most large corporations for things like detecting credit card fraud for banks and fine-tuning pricing for retailers.
According to IBM, it can manage up to 100 databases and can perform analytics in a matter of minutes versus hours to understand consumer purchases and other data-intensive tasks, such as detecting credit card fraud.
The email address is also a good way to track purchases for the purpose of detecting credit card fraud.
A similar approach has been successfully applied to learn decision trees for detecting credit-card frauds [ 45].
In 1986, he founded HNC Software, which sold systems to detect credit card fraud using neural network technology designed to mimic biological circuits in the brain.
Thinmail is just one of countless businesses that use machine intelligence, whether to guide missiles, detect credit card fraud, diagnose medical problems, or make toys more entertaining.
While eNeuralNet is marketing the software to political groups, sales have so far been mainly to other kinds of clients -- pharmaceutical companies seeking patterns in clinical trials, a travel agency trying to detect credit card fraud -- and it is charging $50,000 to $5 million for its services, including the conversion of documents into searchable databases.
For example, neural networks and genetic algorithms were used to detect credit card fraud in a dataset covering 13 months and 50 million credit card transactions (Paasch 2008).
Vanno then quantifies this dialogue and information into an index using Bayesian algorithms (the same statistical methods used to filter spam and detect credit card fraud).
If the new algorithm is vastly more accurate than the older ones and can detect credit worthy people who were completely missed with the less accurate scores, should this increase in the availability of credit offset the explanation requirement?
