https://github.com/20101301-alina-hasan/parallel-hyperloglog-cardinality-estimation
A Python project demonstrating efficient estimation of unique elements in any dataset using the HyperLogLog algorithm with parallel processing. In this example, we apply the method to a transactional dataset, showcasing data cleaning, visualization, and performance comparisons for scalable cardinality estimation.
https://github.com/20101301-alina-hasan/parallel-hyperloglog-cardinality-estimation
cardinality-estimation hyperloglog multiprocessing parallel-computing performance-optimization python transactional-data
Last synced: about 1 year ago
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A Python project demonstrating efficient estimation of unique elements in any dataset using the HyperLogLog algorithm with parallel processing. In this example, we apply the method to a transactional dataset, showcasing data cleaning, visualization, and performance comparisons for scalable cardinality estimation.
- Host: GitHub
- URL: https://github.com/20101301-alina-hasan/parallel-hyperloglog-cardinality-estimation
- Owner: 20101301-Alina-Hasan
- Created: 2025-05-29T07:52:49.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-29T11:07:41.000Z (about 1 year ago)
- Last Synced: 2025-06-09T02:04:39.842Z (about 1 year ago)
- Topics: cardinality-estimation, hyperloglog, multiprocessing, parallel-computing, performance-optimization, python, transactional-data
- Language: Python
- Homepage:
- Size: 113 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0