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Information Technology and Systems Center The University of Alabama in Huntsville
Huntsville, AL 35899 (256) 824-6868
info@itsc.uah.edu

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Environment for Data Mining Solutions

The Algorithm Development and Mining System (ADaM) developed by the Information Technology and Systems Center at the University of Alabama in Huntsville is used to apply data mining technologies to remote sensed and other scientific data. The mining system consists of interoperable components that can be linked together in a variety of ways for application to diverse problem domains. ADaM operations can be configured to create customized mining processes. Preprocessing and analysis utilities aid users in applying data mining to problems including translating between data formats. New components can easily be added to make the system adapt to different science problems. ADaM provides a toolkit of pattern recognition, image processing, optimization, and association rule mining capabilities. Using common scripting languages, such as Python, Perl, shell, ADaM components can be used to solve complex data analysis problems. ADaM’s component architecture also provide compatibility with other data mining and analysis packages.

The DMSC data mining environment also includes capabilities such as data interchange technology for handling heterogeneous data sets, subsetting for data selection and preprocessing and on-board processing capabilities for remote capabilities.

Platform-independent ADaM components can be integrated into distributed applications such as web and Grid environments.


Data Mining Approaches
The Data Mining Solutions Center is working on various research directions in data mining.

Data Mining User Capabilities
There are different types of users, and all have varying levels of expertise.

Mining Scenarios
Includes Production and Knowledge Discovery