Shed More Light on Bloom Filter's Variants

March 17, 2019 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Ripon Patgiri, Sabuzima Nayak, Samir Kumar Borgohain arXiv ID 1903.12525 Category cs.DS: Data Structures & Algorithms Citations 7 Venue arXiv.org Last Checked 4 months ago
Abstract
Bloom Filter is a probabilistic membership data structure and it is excessively used data structure for membership query. Bloom Filter becomes the predominant data structure in approximate membership filtering. Bloom Filter extremely enhances the query response time, and the response time is very fast. Bloom filter (BF) is used to detect whether an element belongs to a given set or not. The Bloom Filter returns True Positive (TP), False Positive (FP), or True Negative (TN). The Bloom Filter is widely adapted in numerous areas to enhance the performance of a system. In this paper, we present a) in-depth insight on the Bloom Filter,and b) the prominent variants of the Bloom Filters.
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