Bloom filter technique of hashing finds several applications, such as in efficient maintenance of differential files, space efficient storage of dictionaries, and parallel free-text searching. The performance of hash transformations with reference to the filter error rate is the focus of this article. © 1989, ACM. All rights reserved.
CITATION STYLE
Ramakrishna, M. V. (1989). Practical Performance of Bloom Filters and Parallel Free-Text Searching. Communications of the ACM, 32(10), 1237–1239. https://doi.org/10.1145/67933.67941
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