GitHub / CHEREF-Mehdi / Apriori_algorithm
Apriori[1] is an algorithm for frequent item set mining and association rule learning over transactional 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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CHEREF-Mehdi%2FApriori_algorithm
PURL: pkg:github/CHEREF-Mehdi/Apriori_algorithm
Stars: 1
Forks: 0
Open issues: 0
License: apache-2.0
Language: JavaScript
Size: 2.27 MB
Dependencies parsed at: Pending
Created at: over 6 years ago
Updated at: over 1 year ago
Pushed at: over 6 years ago
Last synced at: about 1 year ago
Topics: apriori-algorithm, datamining, php