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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/06/24 23:49:05 UTC

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

     [ https://issues.apache.org/jira/browse/SPARK-7212?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng updated SPARK-7212:
---------------------------------
            Assignee: Feynman Liang
    Target Version/s: 1.5.0

> 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
>
> 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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