[jira] Commented: (MAHOUT-384) Implement of AVF algorithm

["Sean Owen (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/MAHOUT-384?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12894291#action_12894291 ] 

Sean Owen commented on MAHOUT-384:
----------------------------------

I'm willing to keep iterating on this patch -- is it still live and interesting? I think the main issues were the ones identified above, making it consistent with the code base.

> Implement of AVF algorithm
> --------------------------
>
>                 Key: MAHOUT-384
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-384
>             Project: Mahout
>          Issue Type: New Feature
>          Components: Collaborative Filtering
>            Reporter: tony cui
>         Attachments: mahout-384.patch
>
>
> This program realize a outlier detection algorithm called avf, which is kind of 
> Fast Parallel Outlier Detection for Categorical Datasets using Mapreduce and introduced by this paper : 
>     http://thepublicgrid.org/papers/koufakou_wcci_08.pdf
> Following is an example how to run this program under haodoop:
> $hadoop jar programName.jar avfDriver inputData interTempData outputData
> The output data contains ordered avfValue in the first column, followed by original input data. 

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