Document (#11010)

Author

Johnson, A.
Fotouhi, F.

Title

Adaptive indexing in very large databases

Source

Journal of database management. 6(1995) no.1, S.4-12

Year

1995

Abstract

Compares the use of 2 adaptive algorithms (genetic algorithms, and neural networks) in clustering the tables of a very large database. These clusters allow the user to index into this overwhelming number of tables and find the needed information quickly. Clusters the tables based on the user's queries and not on the content of the tables, thus the clustering reflects the unique relationships each user sees among the tables. The original database remains untouched, however each user will now have a personalized index into this database

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4. Losee, R.M.: Browsing mixed structured and unstructured data (2006) 0.12

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5. Rooney, N.; Patterson, D.; Galushka, M.; Dobrynin, V.; Smirnova, E.: ¬An investigation into the stability of contextual document clustering (2008) 0.12

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