[jira] [Commented] (SPARK-7212) Frequent pattern mining for sequential item sets

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-7212?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14615306#comment-14615306 ] 

Apache Spark commented on SPARK-7212:
-------------------------------------

User 'mengxr' has created a pull request for this issue:
https://github.com/apache/spark/pull/7240

> Frequent pattern mining for sequential item sets
> ------------------------------------------------
>
>                 Key: SPARK-7212
>                 URL: https://issues.apache.org/jira/browse/SPARK-7212
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib
>            Reporter: Joseph K. Bradley
>            Assignee: Feynman Liang
>             Fix For: 1.5.0
>
>
> Currently, FPGrowth handles unordered item sets.  It would be great to be able to handle sequences of items, in which the order matters.  This JIRA is for discussing modifications to FPGrowth and/or new algorithms for handling sequences.



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