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From "tony cui (JIRA)" <j...@apache.org>
Subject [jira] Commented: (MAHOUT-384) Implement of AVF algorithm
Date Thu, 22 Apr 2010 08:04:52 GMT

    [ https://issues.apache.org/jira/browse/MAHOUT-384?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12859722#action_12859722
] 

tony cui commented on MAHOUT-384:
---------------------------------

Thanks, Robin. I will check the suggestion list one by one as soon as possible. 

Thanks, Sean. I think oulier is a kind of data mining algorithm like classification or cluster,
which can have a bunch of functions, AVF is just a simple one of them. That is why I created
a "outlier"  folder as the same level as classification.

Another problem, which I think may be significant to me. Must I use hadoop 0.19.X? I have
not use this version before.


> 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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