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Abstract-Driven Pattern Discovery in Databases
December 1993 (vol. 5 no. 6)
pp. 926-938

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.

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Index Terms:
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
Citation:
V. Dhar, A. Tuzhilin, "Abstract-Driven Pattern Discovery in Databases," IEEE Transactions on Knowledge and Data Engineering, vol. 5, no. 6, pp. 926-938, Dec. 1993, doi:10.1109/69.250075
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