Demographic and market researchers are the target of a new mining application development toolkit from Numerical Algorithms Group (NAG), which is based in Downers Grove, Ill. NAG says the new software is designed to be incorporated into the user’s application rather than the user having to learn a new interface. The newly released 2.0 version of NAG Data Mining and Cleaning Components allows users to select the elements they need for problem solving and then readily integrate them into existing applications.
Some of the benefits DMC 2.0 has over other commercially available data mining applications include enhanced data cleaning to resolve the problems of missing, invalid or incomplete data and, a wide range of added functionality for machine learning and pattern recognition. DMC 2.0 has been developed based on the learning from the three-year-old European Union funded project, EUREDIT, geared to find new statistical methods important to government-sponsored socioeconomic studies. NAG is a global collaborative network of 300+ computer scientists and mathematicians who work together to solve complex mathematical problems.
