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Abstract-driven pattern discovery in databases

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2 Author(s)
Dhar, V. ; Dept. of Inf. Syst., New York Univ., NY, USA ; Tuzhulin, A.

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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Knowledge and Data Engineering, IEEE Transactions on  (Volume:5 ,  Issue: 6 )