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| CSI 777 - Prin of Knowledge Mining |
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Principles and methods for synthesizing task-oriented knowledge from computer data and prior knowledge and presenting it in human-oriented forms such as symbolic descriptions, natural language-like representations, and graphical forms. Topics include fundamental concepts of knowledge mining; methods for target data generation and optimization; statistical and symbolic approaches; knowledge representation and visualization; and new developments such as inductive databases, knowledge generation languages, and knowledge scouts.
3.000 Credit hours 3.000 Lecture hours Levels: Graduate, Non-Degree, Washington Consortium Schedule Types: Lecture Computational & Data Sciences Department Course Attributes: Graduate - Advanced Restrictions: Must be enrolled in one of the following Levels: Non-Degree Graduate May not be enrolled in one of the following Degrees: Non-Degree Undergraduate |
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