AAAI Publications, Twenty-Second International FLAIRS Conference

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A Textual Subgroup Mining Approach for Rapid ARD+ Model Capture
Martin Atzmueller, Grzegorz J. Nalepa

Last modified: 2009-03-18


Manual knowledge acquisition is usually a costly and time-consuming process. Automatic knowledge acquisition methods can then significantly support the knowledge engineer. In this paper, we propose an approach for rapid knowledge capture. The methodology is based on textual subgroup mining in order to discover dependencies for rule prototyping.


subgroup mining; knowledge capture; design; software engineering; knowledge engineering

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