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