Sentence examples for mining and predictive from inspiring English sources
Social media data is a new treasure trove for data mining and predictive analytics.
Law enforcement has long been interested in "intelligence-led policing,"7 but pattern-based data mining and predictive network analysis gained considerable momentum after the 9/11 Commission blamed intelligence-sharing breakdowns and a failure to "connect the dots" for the attacks of September 11 , 2001
Comes with it, new advances in computing technology together with its high performance analytics for simpler and faster processing of only relevant data to enable timely and accurate insights using data mining and predictive analytics, text mining, forecasting and optimization on complex data to continuously drive innovation and make the best possible decisions.
Kontagent is also going to be investing in further developing data mining and predictive analytics capabilities.
Besides, statistical techniques contain cluster analysis, data mining and predictive modelling methods.
more readily available and will no doubt enhance future modeling approaches (with the addition of large data sets for data mining and predictive modeling) [65].
Using data-mining and predictive software, the government then plans to assign each passenger a "threat index" based on his or her resemblance to a terrorist profile.
In the current study our objective was to determine if subsets of genes can predict the time to the next acute relapse in patients with MS. Data-mining and predictive modeling tools were utilized to analyze a gene-expression dataset of 94 non-treated patients; 62 patients with definite MS and 32 patients with clinically isolated syndrome (CIS).
Our overall strategy is to derive integrated data mining tools and predictive models capable of producing in-silico cell response fingerprints for use in drug screening, experimental therapeutics and hypothesis-testing for the design of treatment regimens.
He calls this data mining and investigation "predictive analytics".
The impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America.
