A Bloom filter is a space efficient structure for storing static sets, where the space efficiency is gained at the expense of a small probability of false-positives. A Bloomier filtergeneralizes a Bloom filter to compactly store a function with a static support. In this article we give a simple construction of a Bloomier filter. The construction is linear in space and requires constant time to evaluate. The creation of our Bloomier filter takes linear time which is faster than the existing construction. We show how one can improve the space utilization further at the cost of increasing the time for creating the data structure.
Bloomier Filters: A second look
Published 2008 in Embedded Systems and Applications
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PUBLICATION RECORD
- Publication year
2008
- Venue
Embedded Systems and Applications
- Publication date
2008-07-06
- Fields of study
Mathematics, Computer Science
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