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 remotely-sensed and other scientific data. The mining and image processing toolkits consist of interoperable components that can be linked together in a variety of ways for application to diverse problem domains. ADaM has over 75 components that can be configured to create customized mining processes. Preprocessing and analysis utilities aid users in applying data mining to their specific problems. New components can easily be added to adapt the system to different science problems.
The 4.0 release of ADaM is a significant architectural paradigm shift from previous versions. The latest version (4.0) provides a solution that easily supports the integration of 3rd party algorithms and the reuse of ADaM components by other systems. ADaM 4.0 provides this support through the use of autonomous components in a distributed architecture. Each component is provided with a C, C++, or other application programming interface (API), an executable in support of generic scripting tools (e.g. Perl, Python, shell scripts) and eventually web service interfaces to support web and grid applications. ADaM 4.0 components are general purpose mining and image processing modules (link to components list) that can be easily reused for multiple solutions and disciplines. These components are well positioned to address the needs for distributed mining and image processing services in web and grid applications.
kkeiser at itsc.uah.edu
University of Alabama in Huntsville
Information Technology & Systems Center
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support-ghrc at earthdata.nasa.gov
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