You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Feynman Liang (JIRA)" <ji...@apache.org> on 2015/06/24 23:13:04 UTC

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

    [ https://issues.apache.org/jira/browse/SPARK-7212?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14600156#comment-14600156 ] 

Feynman Liang commented on SPARK-7212:
--------------------------------------

Beginning work.

> 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
>
> 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.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org