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CS 831 - Knowledge Discov in Databases |
Knowledge discovery from databases in the nontrivial extraction of implicit, previously unknown, and potentially useful information from databases. This course focuses on data sources, extraction techniques, efficiency concerns, and measures of novelty and usefulness. Prior to registering for this course, students should have a background in database and information retrieval, and artificial intelligence comparable to the senior undergraduate level.
3.000 Credit hours 3.000 Lecture hours Levels: Graduate Schedule Types: Lecture, Examination Computer Science Department Restrictions: Must be enrolled in one of the following Levels: Graduate |
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