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Issue No. 06 - December (1993 vol. 5)
ISSN: 1041-4347
pp: 926-938
<p>The problem of discovering interesting patterns in large volumes of data is studied. Patterns can be expressed not only in terms of the database schema but also in user-defined terms, such as relational views and classification hierarchies. The user-defined terminology is stored in a data dictionary that maps it into the language of the database schema. A pattern is defined as a deductive rule expressed in user-defined terms that has a degree of uncertainty associated with it. Methods are presented for discovering interesting patterns based on abstracts which are summaries of the data expressed in the language of the user.</p>
abstract-driven pattern discovery; databases; database schema; user-defined terms; relational views; classification hierarchies; data dictionary; deductive rule; data abstraction; generalization; abstract data types; classification; deductive databases; knowledge based systems; user interfaces

A. Tuzhilin and V. Dhar, "Abstract-Driven Pattern Discovery in Databases," in IEEE Transactions on Knowledge & Data Engineering, vol. 5, no. , pp. 926-938, 1993.
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