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From conflue...@apache.org
Subject [CONF] Apache Lucene Mahout > QuickStart
Date Fri, 12 Feb 2010 14:48:00 GMT
Space: Apache Lucene Mahout (http://cwiki.apache.org/confluence/display/MAHOUT)
Page: QuickStart (http://cwiki.apache.org/confluence/display/MAHOUT/QuickStart)


Edited by Robin Anil:
---------------------------------------------------------------------
h1. Download and Installation

* [Download and installation|BuildingMahout]

h1. Running the Examples

Mahout runs on [Apache Hadoop | http://hadoop.apache.org]. So, to run these examples, install
the latest compatible{footnote}When using a release, see the release notes{footnote}{footnote}When
using trunk, see _parent/pom.xml_{footnote} [Hadoop Common release | http://hadoop.apache.org/common/].


{display-footnotes}

h2. Clustering

* [Synthetic Control Data|SyntheticControlData]


h2. Classification

* [Twenty Newsgroups|TwentyNewsgroups]
* [Wikipedia|WikipediaBayesExample]

h2. Genetic Programming

* [Watchmaker|Mahout.GA.Tutorial]

h2. Decision Forest

* [Breiman Example]
* [Partial Implementation]

h2. Recommendation mining

This package comes with four examples based on netflix data, bookcrossing, grouplens and jester
data.

* [RecommendationExamples]

h1. Where to Go Next

* If you are working with text, read more on [Creating Vectors from Text]
* To learn more on grouping items by similarity and identifying clusters read more on [Clustering
your data|ClusteringYourData]
* If you want to classify incoming items into predefinied categories read more on [Classifying
your data |ClassifyingYourData]
* To know how to Mine frequent patterns from your data know how to Mine frequent patterns
from your data read more on [Parallel Frequent Pattern Mining|ParallelFrequentPatternMining]
* To read more on building recommendation engines have a look at the [Taste documentation
|http://lucene.apache.org/mahout/taste.html] and [Taste hadoop commandline|TasteCommandLine]

Go back to the [Main Wiki Page|http://cwiki.apache.org/MAHOUT] for more information. 



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