Crate probabilistic_collections
source ·Expand description
probabilistic-collections-rs
probabilistic-collections
contains various implementations of collections that use randomization
to improve on running time or memory, but introduce a certain amount of error. The error can be
controlled under a certain threshold which makes these data structures extremely useful for big data
and streaming applications.
Usage
Add this to your Cargo.toml
:
[dependencies]
probabilistic-collections = "*"
and this to your crate root:
extern crate probabilistic_collections;
References
Bera, Suman K., Sourav Dutta, Ankur Narang, and Souvik Bhattacherjee. 2012. “Advanced Bloom Filter Based Algorithms for Efficient Approximate Data de-Duplication in Streams.” CoRR abs/1212.3964. http://arxiv.org/abs/1212.3964.
Cormode, Graham, and S. Muthukrishnan. 2005. “An Improved Data Stream Summary: The Count-Min Sketch and Its Applications.” J. Algorithms 55 (1). Duluth, MN, USA: Academic Press, Inc.: 58–75. https://doi.org/10.1016/j.jalgor.2003.12.001.
Fan, Bin, Dave G. Andersen, Michael Kaminsky, and Michael D. Mitzenmacher. 2014. “Cuckoo Filter: Practically Better Than Bloom.” In Proceedings of the 10th Acm International on Conference on Emerging Networking Experiments and Technologies, 75–88. CoNEXT ’14. New York, NY, USA: ACM. https://doi.org/10.1145/2674005.2674994.
Bender, Michael A., Martin Farach-Colton, Rob Johnson, Russell Kraner, Bradley C. Kuszmaul, Dzejla Medjedovic, Pablo Montes, Pradeep Shetty, Richard P. Spillane, and Erez Zadok. 2012. “Don’T Thrash: How to Cache Your Hash on Flash.” Proc. VLDB Endow. 5 (11). VLDB Endowment: 1627–37. https://doi.org/10.14778/2350229.2350275.
Heule, Stefan, Marc Nunkesser, and Alexander Hall. 2013. “HyperLogLog in Practice: Algorithmic Engineering of a State of the Art Cardinality Estimation Algorithm.” In Proceedings of the 16th International Conference on Extending Database Technology, 683–92. EDBT ’13. New York, NY, USA: ACM. https://doi.org/10.1145/2452376.2452456.
Flajolet, Philippe, Éric Fusy, Olivier Gandouet, and Frédéric Meunier. 2007. “Hyperloglog: The Analysis of a Near-Optimal Cardinality Estimation Algorithm.” In IN Aofa ’07: PROCEEDINGS of the 2007 International Conference on Analysis of Algorithms.
Kirsch, Adam, and Michael Mitzenmacher. 2008. “Less Hashing, Same Performance: Building a Better Bloom Filter.” Random Struct. Algorithms 33 (2). New York, NY, USA: John Wiley & Sons, Inc.: 187–218. https://doi.org/10.1002/rsa.v33:2.
Broder, Andrei Z., Moses Charikar, Alan M. Frieze, and Michael Mitzenmacher. 1998. “Min-Wise Independent Permutations (Extended Abstract).” In Proceedings of the Thirtieth Annual Acm Symposium on Theory of Computing, 327–36. STOC ’98. New York, NY, USA: ACM. https://doi.org/10.1145/276698.276781.
Sood, Sadhan, and Dmitri Loguinov. 2011. “Probabilistic Near-Duplicate Detection Using Simhash.” In Proceedings of the 20th Acm International Conference on Information and Knowledge Management, 1117–26. CIKM ’11. New York, NY, USA: ACM. https://doi.org/10.1145/2063576.2063737.
Almeida, Paulo Sérgio, Carlos Baquero, Nuno Preguiça, and David Hutchison. 2007. “Scalable Bloom Filters.” Inf. Process. Lett. 101 (6). Amsterdam, The Netherlands, The Netherlands: Elsevier North-Holland, Inc.: 255–61. https://doi.org/10.1016/j.ipl.2006.10.007.
License
probabilistic-collections-rs
is dual-licensed under the terms of either the MIT License or the
Apache License (Version 2.0).
See LICENSE-APACHE and LICENSE-MIT for more details.