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| Overview | |
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| Data Mining | |
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| Text Mining | |
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| Genetic Algorithms | |
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| Visualization | |
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| Computational Biology | |
Past projects and those currently underway in the Automated Learning Group have been organized into general categories of problem type. Click on those problem types to view Project Descriptions.
We continue to pursue data mining problems of interest to us and welcome proposals for collaboration from government, industry and academic sectors.
We continue to pursue data mining problems of interest to us and welcome proposals for collaboration from government, industry and academic sectors.
 Data Mining The Data mining category is comprised of problems whose data is tabular---that is, with distinct attribute and value fields. Some of the problems we are currently working on in this category include work with specific groups and individuals, research work, and work on software to facilitate our data mining efforts and tech transfer. More . . .  Text MiningIt can be said, especially with the massive proliferation of information on the internet, that a large percentage of data stores now exist in the form of text. Recognizing this, the ALG has developed tools and methods for extracting usefulness out of these huge quantities of text data. This section highlights some of the problems we are currently working on related to text mining. More . . . Genetic AlgorithmsGenetic Algorithms or GAs are a unique type of problem to the data mining domain. Instead of applying a data mining method to an external data set, the GA creates the data. Traditional data mining methods are then applied to find the best solutions generated by the GA. The ALG is currently at work on an application environment for streamlining this process, opening it up, we hope, to a wider range of scientists and researchers. More . . . |
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 VisualizationInformation visualization uses computing and design techniques to aid in the analysis and communication of data. Successful visualization techniques act to simplify the data mining results, making them available to the widest possible audience. This section highlights current projects that use visualization as a means for data exploration and discovery. More . . . Computational BiologyIn every domain area it is "big data" that compels the application of data mining techniques to the problem at hand. This is especially true in the field of Computational Biology where data is being generated at exponential rates. The ALG is collaborating with several groups to provide data mining and application development expertise in this data intensive area of study. More . . . |
