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From smar...@apache.org
Subject svn commit: r1574890 - /mahout/site/mahout_cms/trunk/content/users/basics/quickstart.mdtext
Date Thu, 06 Mar 2014 14:22:12 GMT
Author: smarthi
Date: Thu Mar  6 14:22:12 2014
New Revision: 1574890

URL: http://svn.apache.org/r1574890
Log:
MAHOUT-1434: Fix broken links

Modified:
    mahout/site/mahout_cms/trunk/content/users/basics/quickstart.mdtext

Modified: mahout/site/mahout_cms/trunk/content/users/basics/quickstart.mdtext
URL: http://svn.apache.org/viewvc/mahout/site/mahout_cms/trunk/content/users/basics/quickstart.mdtext?rev=1574890&r1=1574889&r2=1574890&view=diff
==============================================================================
--- mahout/site/mahout_cms/trunk/content/users/basics/quickstart.mdtext (original)
+++ mahout/site/mahout_cms/trunk/content/users/basics/quickstart.mdtext Thu Mar  6 14:22:12
2014
@@ -10,7 +10,7 @@ Title: Quickstart
 <a name="Quickstart-RunningtheExamples"></a>
 ## Running the Examples
 
-Many Mahout implementations run on [Apache Hadoop ](http://hadoop.apache.org.html). So, to
+Many Mahout implementations run on [Apache Hadoop ](http://hadoop.apache.org). So, to
 run these examples, install the latest compatible (when using a release, see the release

 notes, when using trunk, see parent/pom.xml) [Hadoop Common release](http://www.apache.org/dyn/closer.cgi/hadoop/common/).

 
@@ -26,18 +26,13 @@ notes, when using trunk, see parent/pom.
 ### Classification
 
 * [Twenty Newsgroups](../clustering/twenty-newsgroups.html) ... classic example for classifying
text, data is based on 20 nntp news group posts.
-* [Wikipedia Bayes Example](../classification/wikipedia-bayes-example.html) ... classification
based on wikipedia content.
-
-<a name="Quickstart-GeneticProgramming"></a>
-### Genetic Programming
-
-* [Watchmaker](../basics/mahout.ga.tutorial.html)
+* [Wikipedia Bayes Example](../wikipedia-bayes-example.html) ... classification based on
wikipedia content.
 
 <a name="Quickstart-DecisionForest"></a>
 ### Decision Forest
 
 * [Breiman Example](../classification/breiman-example.html)
-* [Partial Implementation](../classification/partial-implementation.html)
+* [Partial Implementation](../stuff/partial-implementation.html)
 
 <a name="Quickstart-Recommendationmining"></a>
 ### Recommendation mining
@@ -55,6 +50,6 @@ grouplens and jester data.
 read more on [Clustering your data](../clustering/clusteringyourdata.html)
 * If you want to classify incoming items into predefinied categories read
 more on [Classifying your data ](../classification/classifyingyourdata.html)
-* To know how to Mine frequent patterns from your data read more on [Parallel Frequent Pattern
Mining](parallel-frequent-pattern-mining.html)
-* To read more on building recommendation engines have a look at the [Recommender (Taste)
documentation](recommender-documentation.html)
+* To know how to Mine frequent patterns from your data read more on [Parallel Frequent Pattern
Mining](../stuff/parallel-frequent-pattern-mining.html)
+* To read more on building recommendation engines have a look at the [Recommender (Taste)
documentation](../recommender/recommender-documentation.html)
  and [Taste hadoop commandline](TasteCommandLine)



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