Next generation data mining algorithms
NAG’s Data Mining and Cleaning Components (DMC) 2.0 is a data mining application development toolkit that uses results from a three-year European Union funded project—EUREDIT—as well as other advances in data mining techniques developed by the Numerical Algorithms Group, a global collaborative network of 300+ computer scientists and mathematical experts who work together to solve complex mathematical problems.
NAG’s Data Mining and Cleaning Components (DMC) 2.0 is an application development toolkit that uses results from a three-year European Union funded project—EUREDIT—as well as other advances in data mining techniques developed by the Numerical Algorithms Group, a global collaborative network of 300+ computer scientists and mathematical experts who work together to solve complex mathematical problems.
DMC 2.0 capabilities include:
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Enhanced data cleaning to resolve the problems of missing, invalid or incomplete data (data imputation methods);
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Advances in outlier identification to determine which datasets are suitable for analysis;
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Memory-efficient multivariate statistical methods that have been the traditional core of data mining techniques; and
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A range of added functionality for machine learning and pattern recognition.
Click here for more information about DMC 2.0 functionality .
—David Greenfield, editorial director, Control Engineering, dgreenfield@reedbusiness.com
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