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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/07/06 18:51:05 UTC

[jira] [Reopened] (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 reopened SPARK-7212:
----------------------------------

Re-open this issue because FPGrowth is not the right algorithm for frequent sequence mining. PrefixSpan (SPARK-6487) would be a better choice. I will send a PR to revert the change.

> 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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