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https://issues.apache.org/jira/browse/SPARK-4001?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14597154#comment-14597154
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Joseph K. Bradley commented on SPARK-4001:
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Question for those involved: Do you know of papers which explicitly write out
how to calculate association rules efficiently, given the output of the
FPGrowth algorithm? I can imagine heuristics, possibly improvable by pruning
(based on confidence). But I'm hoping someone has written out ideas in a nice
format.
> Add FP-growth 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
> Fix For: 1.3.0
>
> Attachments: Distributed frequent item mining algorithm based on
> Spark.pptx
>
>
> 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
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