https://github.com/fauzan1892/apriori
A python code running with jupyter notebook or google colabs, implementing the Data Mining Associating rule with Apriori algorithm.
https://github.com/fauzan1892/apriori
apriori-algorithm googlecolaboratory jupiter-notebook python
Last synced: 2 months ago
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A python code running with jupyter notebook or google colabs, implementing the Data Mining Associating rule with Apriori algorithm.
- Host: GitHub
- URL: https://github.com/fauzan1892/apriori
- Owner: fauzan1892
- Created: 2021-08-09T09:00:43.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2021-11-02T06:14:39.000Z (over 3 years ago)
- Last Synced: 2025-03-25T06:34:54.545Z (3 months ago)
- Topics: apriori-algorithm, googlecolaboratory, jupiter-notebook, python
- Language: Jupyter Notebook
- Homepage: https://www.codekop.com/read/penerapan-algoritma-apriori-contoh-dan-implementasi-menggunakan-python-68.html
- Size: 23.4 KB
- Stars: 6
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
## Apriori
A python code with jupyter notebook or google colabs, implementing the Data Mining algorithm - Apriori.
Apriori is an algorithm for frequent item set mining and association rule learning over relational databases. It proceeds by identifying the frequent individual items in the database and extending them to larger and larger item sets as long as those item sets appear sufficiently often in the database. The frequent item sets determined by Apriori can be used to determine association rules which highlight general trends in the database: this has applications in domains such as market basket analysis.