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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.
Freely used for educational and research purposes by non-profit institutions and US government agencies only. Other organizations are allowed to use ADaM only for evaluation purposes, and any further uses will require prior approval. The software may not be sold or redistributed without prior approval; on site download
Pricing
Subscription
Free Trial
Available
Users Size
Small (<50 employees), Medium (50 to 1000 Enterprise (>1001 employees)
ADaM's component architecture is designed to take advantage of emerging computational environments such as the Web and information Grids.
7.6
Editor Rating
7.8
Aggregated User Rating
2 ratings
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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 100 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 (4.0.2) provides a solution that easily supports the integration of 3rd party algorithms and the reuse of ADaM components by other systems. ADaM 4.0.2 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 4.0.2 components are general purpose mining and image processing modules 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.
ADaM components can be accessed via multiple external interfaces. This flexibility facilitates the implementation of data mining and image processing components as Web and Grid services. Consistent and well documented execution protocols support the incorporation of ADaM components into applications that are developed using common network-enabled scripting languages such as Perl and Python.
Pattern recognition, image processing, optimization, and association rule mining capabilities
Company size
Small (<50)
User Role
IT Support
User Industry
Aerospace
Rating
Ease of use8.1
Features & Functionality8.2
Advanced Features8.3
Integration8.1
ADDITIONAL INFORMATION ADaM is an Algorithm Development and Mining System developed to apply data mining technologies to remotely-sensed and other scientific data. The solution provides a platform that can be integrated with 3rd party algorithms and the reuse of ADaM components by other systems. The framework is supported through the use of autonomous components in a distributed architecture, with each element packaged as C, C++, or other API tools. The functions are organized as toolkits providing pattern recognition, image processing, optimization, and association rule mining capabilities. ADaM can be used through multiple interfaces which are merged into applications, developed using common network-enabled scripting languages such as Perl and Python. Customized applications can be created using toolkits of mining and image processing components, or combined with other specialized software modules. The functional application uses a combination of image analysis components and special purpose modules designed to solve issues. ADaM toolkits are available as a set of Open Grid Services Architecture components that translate to a Grid environment such as NASA and the National Science Foundation.
Pattern recognition, image processing, optimization, and association rule mining capabilities
Small (<50)
IT Support
Aerospace
ADDITIONAL INFORMATION
ADaM is an Algorithm Development and Mining System developed to apply data mining technologies to remotely-sensed and other scientific data. The solution provides a platform that can be integrated with 3rd party algorithms and the reuse of ADaM components by other systems. The framework is supported through the use of autonomous components in a distributed architecture, with each element packaged as C, C++, or other API tools. The functions are organized as toolkits providing pattern recognition, image processing, optimization, and association rule mining capabilities. ADaM can be used through multiple interfaces which are merged into applications, developed using common network-enabled scripting languages such as Perl and Python. Customized applications can be created using toolkits of mining and image processing components, or combined with other specialized software modules. The functional application uses a combination of image analysis components and special purpose modules designed to solve issues. ADaM toolkits are available as a set of Open Grid Services Architecture components that translate to a Grid environment such as NASA and the National Science Foundation.