# Hash function 0. []() 0. http://fastcompression.blogspot.com/2019/03/presenting-xxh3.html 0. http://cyan4973.github.io/xxHash/ # Reference 0. []() 0. [HyperLogLog in Presto: A significantly faster way to handle cardinality estimation](https://engineering.fb.com/2018/12/13/data-infrastructure/hyperloglog/) 0. [Ribbon Filter](http://rocksdb.org/blog/2021/12/29/ribbon-filter.html) 0. [Binary Fuse Filters: Fast and Smaller Than Xor Filters](https://arxiv.org/abs/2201.01174) 0. [Ribbon filter: practically smaller than Bloom and Xor](https://arxiv.org/abs/2103.02515) 0. [Xor Filters: Faster and Smaller Than Bloom Filters](https://lemire.me/blog/2019/12/19/xor-filters-faster-and-smaller-than-bloom-filters/) 0. [Morton Filters: Faster, Space-Efficient Cuckoo Filters via Biasing, Compression, and Decoupled Logical Sparsity](http://www.vldb.org/pvldb/vol11/p1041-breslow.pdf) 0. https://github.com/efficient/SuRF 0. https://welcometotheoryland.wordpress.com/2017/10/19/what-is-a-hash-function-it-depends-on-whos-speaking/ 0. http://docs.pipelinedb.com/probabilistic.html 0. [Probabilistic Data Structures](https://www.youtube.com/watch?v=F7EhDBfsTA8) 0. http://www.i-programmer.info/programming/theory/4641-the-invertible-bloom-filter.html 0. https://github.com/seiflotfy/hyperbitbit 0. https://blog.yld.io/2017/04/19/hyperloglog-a-probabilistic-data-structure/#.WPtT_R_6zCI 0. https://github.com/pawandubey/cuckoo_filter 0. https://cloud.google.com/blog/big-data/2017/07/counting-uniques-faster-in-bigquery-with-hyperloglog 0. https://blog.dataweave.com/using-probabilistic-data-structures-to-build-real-time-monitoring-dashboards-25b17c968c08 0. https://bdupras.github.io/filter-tutorial/ 0. https://www.somethingsimilar.com/2012/05/21/the-opposite-of-a-bloom-filter/ 0. https://github.com/splatlab/cqf 0. [LogLog-Beta and More: A New Algorithm for Cardinality Estimation Based on LogLog Counting](https://arxiv.org/ftp/arxiv/papers/1612/1612.02284.pdf) 0. https://blog.acolyer.org/2017/08/08/a-general-purpose-counting-filter-making-every-bit-count/ 0. [Ode on a Random Urn (Functional Pearl)](https://www.youtube.com/watch?v=O37FMxLxm78) 0. http://smalldatum.blogspot.com/2018/09/bloom-filter-and-cuckoo-filter.html 0. https://hackernoon.com/cuckoo-filter-vs-bloom-filter-from-a-gophers-perspective-94d5e6c53299 0. https://github.com/axiomhq/hyperminhash ## Bloom filter 0. []() 0. [Sliding Bloom Filter](https://programming.guide/sliding-bloom-filter.html) 0. [Word-aligned Bloom filters](https://lemire.me/blog/2021/10/03/word-aligned-bloom-filters/) 0. [Bloom Filters by Example](https://llimllib.github.io/bloomfilter-tutorial/) 0. [Bloom Filters - Much, much more than a space efficient hashmap!](https://boyter.org/posts/bloom-filter/) 0. [Teaching Bloom Filters new tricks](https://toao.com/blog/teaching-bloom-filters-new-tricks) 0. http://www.partow.net/programming/bloomfilter/idx.html 0. https://sagi.io/2017/07/bloom-filters-for-the-perplexed/ 0. https://medium.com/orbs-network/constructing-bloom-filters-without-false-positives-7aaf50b92f3b