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On the falsepositive rate of Bloom filters (2008)

Abstract
Abstract. Bloom filters are a randomized data structure for membership queries dating back to 1970. Bloom filters sometimes give erroneous answers to queries, called false positives. Bloom analyzed the probability of such erroneous answers, called the false-positive rate, and Bloom’s analysis has appeared in many publications throughout the years. We show that Bloom’s analysis is incorrect and give a correct analysis.

Publication details
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.72.4107
Source http://cg.scs.carleton.ca/~morin/publications/ds/bloom-submitted.pdf
Contributors CiteSeerX
Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Keywords Data structures, analysis of algorithms
Type text
Language English
Relation 10.1.1.20.2080, 10.1.1.127.9672, 10.1.1.48.1790, 10.1.1.58.6899, 10.1.1.134.4434, 10.1.1.69.2304