Learning transformation rules for semantic query optimization: adata-driven approach |
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| Authors: | Shekar S Hamidzadeh B Kohli A Coyle M |
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| Affiliation: | Dept. of Comput. Sci., Minnesota Univ., Minneapolis, MN; |
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| Abstract: | An approach to learning query-transformation rules based on analyzing the existing data in the database is proposed. A framework and a closure algorithm for learning rules from a given data distribution are described. The correctness, completeness, and complexity of the proposed algorithm are characterized and a detailed example is provided to illustrate the framework |
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