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Learning classification rules from database in the context of
knowledge acquisition and representation  Sign In   Formats Non-
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Author(s) Yasdi, R. ; Dept. of Comput. Sci., Hochschule
Bremerhaven, Germany  A method for learning knowledge from a
database is used to address the bottleneck of manual knowledge
acquisition. An attempt is made to improve representation with
the assistance of experts and from computer resident knowledge.
The knowledge representation is described in the framework of a
conceptual schema consisting of a semantic model and an event
model. A concept classifies a domain into different subdomains.
As a method of knowledge acquisition, inductive learning
techniques are used for rule generation. The theory of rough
sets is used in designing th