[ https://issues.apache.org/jira/browse/SPARK-4001?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14177081#comment-14177081 ]
Xiangrui Meng commented on SPARK-4001: -------------------------------------- [~jackylk] Could you provide references and comment on its use cases? I'm not familiar with the database context. How does it compare to freq-item algorithms, e.g., http://dl.acm.org/citation.cfm?id=762473 ? > Add Apriori algorithm to Spark MLlib > ------------------------------------ > > Key: SPARK-4001 > URL: https://issues.apache.org/jira/browse/SPARK-4001 > Project: Spark > Issue Type: New Feature > Components: MLlib > Reporter: Jacky Li > Assignee: Jacky Li > > Apriori is the classic algorithm for frequent item set mining in a > transactional data set. It will be useful if Apriori algorithm is added to > MLLib in Spark -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org