Unary and n-ary inclusion dependency discovery in relational databases

Author:

Marchi Fabien De,Lopes Stéphane,Petit Jean-Marc

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference36 articles.

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3. Agrawal, R., & Srikant, R. (1994). Fast algorithms for mining association rules in large databases. In J. B. Bocca, M. Jarke, & C. Zaniolo (Eds.), International conference on very large data bases (VLDB’94) (pp. 487–499). Santiago de Chile, Chile: Morgan Kaufmann.

4. Albrecht, M., Buchholz, E., Düsterhöft, A., & Thalheim, B. (1995). An informal and efficient approach for obtaining semantic constraints using sample data and natural language processing. In L. Libkin & B. Thalheim (Eds.), Semantics in databases (Vol. 1358, pp. 1–28). Lecture Notes in Computer Science, Springer.

5. Bauckmann, J., Leser, U., Naumann, F., & Tietz, V. (2007). Efficiently detecting inclusion dependencies. In International conference on data engineering (ICDE’07) (pp. 1448–1450). IEEE Computer Society.

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