Customer | U.S. Air Force (Rome Labs) |
Users | Database analysts |
Need | Much of the research in the area of Knowledge Discovery in Databases (KDD) has focused on the development of more efficient and effective data mining algorithms, but issues related to the usability of these techniques in extracting exploitable knowledge from databases has drawn significant attention. Since the exploratory process associated with KDD proceeds in a data-driven manner, it is crucial that these tools are seamlessly integrated so as to allow flexible utilization of tools and operation chaining. Especially useful to intensive knowledge discovery processes is the ability to intuitively utilize the results of data mining operations in subsequent exploration steps. To date, such capabilities have largely been neglected to the significant detriment to users. |
Solution |
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Status | The system has been in use in Stottler Henke”s consulting work since 2000, both as a stand-alone application and as a back end data mining engine for specialized applications. |
Relatied Applications | The functionality provided by IKODA has provided a solid foundation for related applications to build upon. We have used it as a major component in applications as varied as database fraud detection, network anomaly detection, and epidemiological research. |
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