Abstract
In this investigation, we discuss how to make conceptual formation from databases as background knowledge. Given a set E of objects e 1, e n , we generate conceptual description to capture the meaning that E has. Database schemes contain common knowledge that are carried by all the instances. Since they had been designed much before various instances are generated, the schemes sometimes couldn't capture the current meaning of the instances.
To adjust such conceptual differences, we utilize relevant information (attributes, attribute values) to make suitable conceptual description by means of database schemes and their expression on. In this work, we introduce Conditional Sum of Product (CSOP) expressions on object types and we discuss how to generate conceptual description based on extended decision tree technique. We show some experimental results.
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© 1998 Springer-Verlag Berlin Heidelberg
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Miura, T., Shioya, I. (1998). Learning concepts from databases. In: Quirchmayr, G., Schweighofer, E., Bench-Capon, T.J. (eds) Database and Expert Systems Applications. DEXA 1998. Lecture Notes in Computer Science, vol 1460. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0054538
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DOI: https://doi.org/10.1007/BFb0054538
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