More Optimal Bloom Filters - podcast episode cover

More Optimal Bloom Filters

Apr 18, 2008
--:--
--:--
Listen in podcast apps:
Metacast
Spotify
Youtube
RSS
Download Metacast podcast app
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

Episode description

The Bloom filter, conceived by Burton H. Bloom in 1970, is a space-efficient probabilistic data structure that is used to test whether an element is a member of a set. False positives are possible, but false negatives are not. Elements can be added to the set, but not removed (though this can be addressed with […]
For the best experience, listen in Metacast app for iOS or Android
Open in Metacast
More Optimal Bloom Filters | Scale Cast – A podcast about big data, distributed systems, and scalability - Listen or read transcript on Metacast