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HealthTweets.org allows public health practitioners and researchers direct access to the output of the group's data mining algorithms.
Data mining algorithms work with different principles, being able to be influenced by different kinds of associations on data.
Data mining algorithms are being applied to detect what is loosely termed "suspicious activity" in order to ensure our "security".
Ensemble-based data mining algorithms and their distributed implementations are a promising approach to these issues.
Data mining algorithms find patterns in the data and report models back to the user.
This makes it challenging as the conventional data mining algorithms do not address this need.
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The dependent criteria is generally used in wrapper model requiring tuning of data-mining algorithms.
Further, an increase in dimensionality makes the data-mining algorithms computationally intensive and often require problem specific optimization techniques.
COPLINK is part of a new science of data-mining algorithms that allows a computer to make high-speed connections that would take a human weeks.
There is a strong need for better data-mining algorithms in the fast growing body of genomic information.
The resulting data formats are highly amenable to statistical data analysis, including descriptive and predictive data-mining algorithms.
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