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From Pradeep Pujari <ppuj...@gmail.com>
Subject Re: [jira] Commented: (MAHOUT-108) Implementation of Assoication Rules learning by Apriori algorithm
Date Wed, 22 Jul 2009 20:20:11 GMT
How to use Association Rules learning concept in Mahout? For example, based
on purchase history and marketing analytics tool we know the associations
like {shoes, socks} ---> tie meaning customers who buy shoes and socks also
buy ties. Does Mahout recommend products based on association rules.

Thx,
Pradeep.

On Tue, Jul 14, 2009 at 11:31 AM, Isabel Drost (JIRA) <jira@apache.org>wrote:

>
>    [
> https://issues.apache.org/jira/browse/MAHOUT-108?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12731024#action_12731024]
>
> Isabel Drost commented on MAHOUT-108:
> -------------------------------------
>
> Hello Chao Deng,
>
> how is the status of your apriori patch?
>
> Isabel
>
> > Implementation of Assoication Rules learning by Apriori algorithm
> > -----------------------------------------------------------------
> >
> >                 Key: MAHOUT-108
> >                 URL: https://issues.apache.org/jira/browse/MAHOUT-108
> >             Project: Mahout
> >          Issue Type: Task
> >         Environment: Linux, Hadoop-0.17.1
> >            Reporter: chao deng
> >             Fix For: 0.2
> >
> >   Original Estimate: 504h
> >  Remaining Estimate: 504h
> >
> > Target: Association Rules learning is a popular method for discovering
> interesting relations between variables in large databases. Here, we would
> implement the Apriori algorithm using Hadoop&Mapreduce parallel techniques.
> > Applications: Typically, association rules  learning is used to discover
> regularities between products in large scale transaction data in
> supermarkets. For example, the rule  "{onions, patatoes}->beef" found in the
> sales data would indicate that if a customer buys onions and potatoes
> together, he or she is likely to also buy beef. Such information can be used
> as the basis for decisions about marketing activities. In addition to the
> market basket analysis, association rules are employed today in many
> application areas including Web usage mining, intrusion detection and
> bioinformatics.
> > Apriori algorithm: Apriori is the best-known algorithm to mine
> association rules. It uses a breadth-first search strategy to counting the
> support of itemsets and uses a candidate generation function which exploits
> the downward closure property of support
>
> --
> This message is automatically generated by JIRA.
> -
> You can reply to this email to add a comment to the issue online.
>
>

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