[jira] [Comment Edited] (SPARK-6386) add association rule mining algorithm to MLLib

["Feynman Liang (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-6386?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14617586#comment-14617586 ] 

Feynman Liang edited comment on SPARK-6386 at 7/7/15 10:59 PM:
---------------------------------------------------------------

Resolved by SPARK-8559


was (Author: fliang):
Closing since this is resolved by SPARK-8559

> add association rule mining algorithm to MLLib
> ----------------------------------------------
>
>                 Key: SPARK-6386
>                 URL: https://issues.apache.org/jira/browse/SPARK-6386
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib
>    Affects Versions: 1.3.0
>            Reporter: zhangyouhua
>
> [~mengxr]
> association rule algorithm is find frequent items which are association，while given transition data set and minSupport and minConf. we can use FPGrowth algorithm mining frequent pattern item，but can not explain each other. so we should add association rule algorithm.
> for example：
> data set：
> A B C
> A C
> A D
> B E F
> minSupport :0.5
> minConf:0.5
> the  frequent items-> support 
> A ->0.75
> B ->0.5
> C ->0.5 
> A C ->0.5
> use minSupport calculate minConf：
> A -> C: support {A C}/support {A}  = 0.67



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