Efficient similarity search in sequence databases-Reference-Cited by-同舟云学术

Efficient similarity search in sequence databases

Published:1993 Issue: Volume: Page:69-84
ISSN:0302-9743
Container-title:Foundations of Data Organization and Algorithms
language:
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Author:

Agrawal Rakesh,Faloutsos Christos,Swami Arun

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-57301-1_5.pdf

Reference30 articles.

1. R. Agrawal, T. Imielinski, and A. Swami, “Database Mining: A Performance Perspective”, IEEE Transactions on Knowledge and Data Engineering, Special issue on Learning and Discovery in Knowledge-Based Databases, (to appear).

2. R. Agrawal, S. Ghosh, T. Imielinski, B. Iyer, and A. Swami, “An Interval Classifier for Database Mining Applications”, VLDB 92, Vancouver, August 1992.

3. R. Agrawal, T. Imielinski, and A. Swami, “Mining Association Rules between Sets of Items in Large Databases”, ACM SIGMOD, Washington D.C., May 1993.

4. S.F. Altschul, W. Gish, W. Miller, E.W. Myers and D.J. Lipman, “A Basic Local Alignment Search Tool” Journal of Molecular Biology, 1990.

5. F. Aurenhammer, “Voronoi Diagrams — A Survey of a Fundamental Geometric Data Structure” ACM Computing Surveys 23(3):345–405, Sept. 1991.

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