Algorithms for Stream Summary.
Project description
# Stream Summaries
Repository created to test package uploading to PyPi.
## About the algorithms
Space-Saving Algorithm
This code was implemented by myself, but the algorithm was developed by Metwally et al. If you use this algorithm, cite:
` @inproceedings{metwally2005efficient, title={Efficient Computation of Frequent and Top-k Elements in Data Streams}, author={Metwally, Ahmed and Agrawal, Divyakant and El Abbadi, Amr}, booktitle={International Conference on Database Theory}, pages={398--412}, year={2005}, organization={Springer} } `
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
StreamSummaries-0.1.1.tar.gz
(2.3 kB
view details)
File details
Details for the file StreamSummaries-0.1.1.tar.gz
.
File metadata
- Download URL: StreamSummaries-0.1.1.tar.gz
- Upload date:
- Size: 2.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d06f98d8defffc068572b9f05115c7dff72ef2631bc122e38cb9d1bf36810818 |
|
MD5 | d40f6ffe5bb510f05192614e4405f01b |
|
BLAKE2b-256 | fdc7e5ed98d939882156c668d58d6d1647dc559978c9a0babc7ec370c621d95b |