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--- mahout/site/new_website/images/search.js (added)
+++ mahout/site/new_website/images/search.js Wed May 12 21:46:19 2010
@@ -0,0 +1,21 @@
+function initSearch(){
+    var methods = {
+        defaultValueActsAsHint: function(element){
+            element = $(element);
+            element._default = element.value;
+            return element.observe('focus', function(){
+                if(element._default != element.value) return;
+                element.removeClassName('hint').value = '';
+            }).observe('blur', function(){
+                if(element.value.strip() != '') return;
+                element.addClassName('hint').value = element._default;
+            }).addClassName('hint');
+        }
+    };
+    $w('input textarea').each(function(tag){ Element.addMethods(tag, methods) 
});
+}
+initSearch();
+
+document.observe('dom:loaded', function(){
+    $('searchDocs').defaultValueActsAsHint();
+});
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--- mahout/site/new_website/images/slides.js (added)
+++ mahout/site/new_website/images/slides.js Wed May 12 21:46:19 2010
@@ -0,0 +1,109 @@
+var Slides = Class.create({
+
+       initialize: function(element, options) {                
+               this.options = {
+               Duration: 1,
+                       Delay: 10.0,
+                       Random: true,
+                       Slideshow:true,
+                       Controls:true
+       }
+               Object.extend(this.options, options || {});
+
+       this.element        = $(element);
+               this.slides                     = this.element.childElements();
+               this.num_slides         = this.slides.length;           
+               this.current_slide      = (this.options.Random) ? 
(Math.floor(Math.random()*this.num_slides)) : 0;
+               this.end_slide          = this.num_slides - 1;
+               
+               this.slides.invoke('hide');
+               this.slides[this.current_slide].show();
+                               
+               if (this.options.Slideshow) { 
+                       this.startSlideshow();
+               }                               
+               if (this.options.Controls) {
+                       this.addControls();
+               }               
+       },
+       
+       addControls: function() {
+               this.btn_previous       = $('previous');
+               this.btn_next           = $('next');
+               this.btn_start          = $('start');
+               this.btn_stop           = $('stop');
+               
+               this.btn_previous.observe('click', 
this.moveToPrevious.bindAsEventListener(this));
+               this.btn_next.observe('click', 
this.moveToNext.bindAsEventListener(this));
+               this.btn_start.observe('click', 
this.startSlideshow.bindAsEventListener(this));
+               this.btn_stop.observe('click', 
this.stopSlideshow.bindAsEventListener(this));
+       },
+
+       startSlideshow: function(event) {
+               if (event) { Event.stop(event); }
+               if (!this.running)      {
+                       this.fadeStartBtn();
+                       this.executer = new PeriodicalExecuter(function(){
+                               this.updateSlide(this.current_slide+1);
+                       }.bind(this),this.options.Delay);
+                       this.running=true;
+               }
+               
+       },
+       
+       fadeStartBtn: function() {
+               var startBtn = $('start');
+               var stopBtn = $('stop');
+               Effect.Fade(startBtn, { duration: 0.3 }),
+               Effect.Appear(stopBtn, { duration: 0.3 }) 
+       },
+       
+       stopSlideshow: function(event) {        
+               if (event) { Event.stop(event); } 
+               if (this.executer) {
+                       this.fadeStopBtn();
+                       this.executer.stop();
+                       this.running=false;
+               }        
+       },
+       
+       fadeStopBtn: function() {
+               var startBtn = $('start');
+               var stopBtn = $('stop');
+               Effect.Fade(stopBtn, { duration: 0.3 }),
+               Effect.Appear(startBtn, { duration: 0.3 }) 
+       },
+
+       moveToPrevious: function (event) {
+               if (event) { Event.stop(event); }
+               //this.stopSlideshow();
+               this.updateSlide(this.current_slide-1);
+       },
+
+       moveToNext: function (event) {
+               if (event) { Event.stop(event); }
+               //this.stopSlideshow();
+               this.updateSlide(this.current_slide+1);
+       },
+       
+       updateSlide: function(next_slide) {
+               if (next_slide > this.end_slide) { 
+                               next_slide = 0; 
+               } 
+               else if ( next_slide == -1 ) {
+                               next_slide = this.end_slide;
+               }
+               
+               this.fadeInOut(next_slide, this.current_slide);         
+       },
+
+       fadeInOut: function (next, current) {           
+               new Effect.Parallel([
+                       new Effect.Fade(this.slides[current], { sync: true }),
+                       new Effect.Appear(this.slides[next], { sync: true }) 
+               ], { duration: this.options.Duration });
+               
+               this.current_slide = next;              
+       }
+
+});
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Added: mahout/site/new_website/index.html
URL: 
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==============================================================================
--- mahout/site/new_website/index.html (added)
+++ mahout/site/new_website/index.html Wed May 12 21:46:19 2010
@@ -0,0 +1,231 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" 
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd";>
+<html xmlns="http://www.w3.org/1999/xhtml"; xml:lang="en" lang="en"><head><meta 
http-equiv="Content-Type" content="text/html; charset=UTF-8">
+        
+    <meta name="Distribution" content="Global">
+    <meta name="Robots" content="index,follow">
+        <title>Apache Mahout:: Scalable machine-learning and data-mining 
library</title>
+        <meta name="keywords" content="apache, apache hadoop, apache hive, 
apache incubator, apache lucene, apache solr, apache taste, apache thrift, 
apache xml, business data mining, cloudbase hadoop, cluster analysis, 
collaborative filtering, data extraction, data filtering, data framework, data 
integration, data matching, data mining, data mining algorithms, data mining 
analysis, data mining data, data mining introduction, data mining pdf, data 
mining software, data mining sql, data mining techniques, data representation, 
data set, data visualization, datamining, distributed solr, feature extraction, 
fuzzy k means, genetic algorithm, hadoop, hadoop cluster, hadoop download, 
hadoop forum, hadoop gfs, hadoop lucene, hadoop pig latin, hadoop sequence 
file, hadoop sequencefile, hierarchical clustering, high dimensional, hive 
hadoop, install solr, introduction to data mining, kmeans, knowledge discovery, 
learning approach, learning approaches, learning methods, learning techni
 ques, lucene, machine learning, machine translation, mahout apache, mahout 
taste, map reduce hadoop, mining data, mining methods, naive bayes, natural 
language processing, open source search engine, open source search engine 
software, opencms search, org apache lucene, pattern recognition, pattern 
recognition and machine learning, pig apache, pig hadoop, search algorithms, 
search engine, solr api, solr faceted, solr open source, solr search engine, 
solr tika, statistical consulting, statistical data mining, supervised, text 
mining, time series data, unsupervised, web data mining, zookeeper, zookeeper 
apache">
+       <meta name="Description" content="      Mahout's goal is to build 
scalable machine learning libraries. With scalable we mean:
+
+               Scalable to reasonably large data sets. Our core algorithms for 
clustering, classfication and batch based collaborative filtering are 
implemented on top of Apache Hadoop using the map/reduce paradigm. However we 
do not restrict contributions to Hadoop based implementations: Contributions 
that run on a single node or on a non-Hadoop cluster are welcome as well. The 
core libraries are highly optimized to allow for good performance also for 
non-distributed algorithms.
+               Scalable to support your business case. Mahout is distributed 
under a commercially friendly Apache Software license.
+               Scalable community. The goal of Mahout is to build a vibrant, 
responsive, diverse community to facilitate discussions not only on the project 
itself but also on potential use cases. Come to the mailing lists to find out 
more.">
+    <link rel="shortcut icon" type="image/x-icon" href="images/favicon.ico">
+    <link rel="stylesheet" href="images/global.css" type="text/css">
+    <script type="text/javascript" src="images/prototype.js"></script>
+    <script type="text/javascript" src="images/effects.js"></script>
+    <script type="text/javascript" src="images/search.js"></script>
+    <script type="text/javascript" src="images/slides.js"></script>
+</head><body id="home">
+<!-- wrap starts here -->
+  <div id="wrap">
+
+    <!--header -->
+    <div id="header">
+        <div id="logo">
+            <a href="http://mahout.apache.org/";></a>
+        </div>
+        <div id="nav">
+            <ul>
+                <li><a 
href="http://cwiki.apache.org/confluence/x/LYB2";>Download</a></li>
+                <li><a 
href="http://cwiki.apache.org/confluence/x/DAFk";>Documentation</a></li>
+                <li><a 
href="http://ofbiz.apache.org/documentation.html";>Tutorials</a></li>
+                <li><a href="http://ofbiz.apache.org/download.html";>Bug 
Tracker</a></li>
+                <li><a class = "last" 
href="http://cwiki.apache.org/confluence/x/L4B2";>Discussion</a></li>
+            </ul>
+        </div>
+        <div id="search">
+           <form method="GET" 
action="http://search.lucidimagination.com/p:mahout"; name="searchForm">
+
+               <input type="text" name="Search" value="Search..." 
class="class1 class2 hint" accesskey="s" name="queryString">
+           </form>
+        </div>
+        <div id="slides">
+            <div class="slideshow" id="mantleSlides">
+                <div id="slide1" style="display: none; ">
+                    <div class="callout">
+                        Understand the behavior of users<br>
+                        and recommend things they like.<br>
+                    </div>
+                    <div class="description">
+                        At Mahout you have the choice of a wide range of 
recommendation techniques: user based, item based and co-occurrence based 
recommendations
+                    </div>
+                    <div class="mantle">
+                        <img src="images/mantle.png">
+                    </div>
+                </div>
+                <div id="slide2" style="display: none; ">
+                    <div class="callout">
+                        Find patterns in data<br>
+                        using Mahout<br>
+                    </div>
+                    <div class="description">
+                        Using parallel frequent pattern generation, understand 
the subtle patterns in your data and use them to improve your understanding of 
the whole system. Use a wide range of clustering algorithms to group similar 
items. 
+                    </div>
+                    <div class="mantle">
+                        <img src="images/mantle2.png">
+                    </div>
+                </div>
+                <div id="slide3" style="display: none; ">
+                    <div class="callout">
+                        Cutting edge of machine learning<br>
+                       <br>
+                    </div>
+                    <div class="description">
+                       Mahout is a great platform for anyone
+                    </div>
+                    <div class="mantle">
+                        <img src="images/mantle3.png">
+                    </div>
+                </div>
+                <div id="slide4" style="opacity: 0.52466; ">
+                    <div class="callout">
+                        Predict the unknown using<br>
+                        known data<br>
+                    </div>
+                    <div class="description">
+                       Use highly scalable implementations of Naive Bayes and 
Random forests to learn a model from data and predict the class of an object
+                    </div>
+                    <div class="mantle">
+                        <img src="images/mantle4.png">
+                    </div>
+                </div>
+                <div id="slide5" style="opacity: 0.47534; ">
+                    <div class="callout">
+                        Open source<br>
+                        and Apache licensed<br>
+                    </div>
+                    <div class="description">
+                        Because you will have complete access to source code, 
you will eliminate "proprietary system" limitations.
+                        
+                    </div>
+                    <div class="mantle">
+                        <img src="images/mantle5.png">
+                    </div>
+                </div>
+            </div>
+            <div class="controls">
+              <a class="next" id="next" title="Next" 
href="http://ofbiz.apache.org/#";>Next</a>
+              <a class="previous" id="previous" title="Previous" 
href="http://ofbiz.apache.org/#";>Previous</a>
+              <a class="start" id="start" title="Start" 
href="http://ofbiz.apache.org/#"; style="display: none; ">Start</a>
+              <a class="stop" id="stop" title="Stop" 
href="http://ofbiz.apache.org/#";>Stop</a>
+            </div>
+        </div>
+
+        <script type="text/javascript">
+          function StartSlides() {
+            new Slides('mantleSlides');
+          }
+          document.observe ('dom:loaded', StartSlides);
+        </script>
+
+    </div>
+    <!--header ends-->
+
+
+    <!-- content-wrap starts -->
+    <div id="content-wrap" class="clearfix">
+        <div id="main">
+
+            <h2>What is Apache Mahout?</h2>
+            <h3>Scalable machine learning library</h3>
+        <div class="highlights">
+          <h4>Mahout currently has</h4>
+          <ul>
+            <li>Collaborative Filtering</li>
+            <li>User and Item based recommenders</li>
+            <li>K-Means, Fuzzy K-Means clustering</li>
+            <li>Mean Shift clustering</li>
+            <li>Dirichlet process clustering</li>
+            <li>Latent Dirichlet Allocation</li>
+            <li>Singular value decomposition</li>
+            <li>Parallel Frequent Pattern mining</li>
+            <li>Complementary Naive Bayes classifier</li>
+            <li>Random forest decision tree based classifier</li>
+            <li>High performance java collections (previously colt 
collections)</li>
+            <li>A vibrant community</li>
+            <li>and many more cool stuff to come by this summer thanks to 
Google summer of code</li>
+          </ul>
+        </div>
+
+        <p>Apache Mahout's goal is to build scalable machine learning 
libraries. With scalable we mean:</p>
+
+        <p>Scalable to reasonably large data sets. Our core algorithms for 
clustering, classfication and batch based collaborative filtering are 
implemented on top of Apache Hadoop using the map/reduce paradigm. However we 
do not restrict contributions to Hadoop based implementations: Contributions 
that run on a single node or on a non-Hadoop cluster are welcome as well. The 
core libraries are highly optimized to allow for good performance also for 
non-distributed algorithms</p>
+               <p>Scalable to support your business case. Mahout is 
distributed under a commercially friendly Apache Software license.</p>
+               <p>Scalable community. The goal of Mahout is to build a 
vibrant, responsive, diverse community to facilitate discussions not only on 
the project itself but also on potential use cases. Come to the mailing lists 
to find out more.</p>
+               <p>Currently Mahout supports mainly four use cases: 
Recommendation mining takes users' behavior and from that tries to find items 
users might like. Clustering takes e.g. text documents and groups them into 
groups of topically related documents. Classification learns from exisiting 
categorized documents what documents of a specific category look like and is 
able to assign unlabelled documents to the (hopefully) correct category. 
Frequent itemset mining takes a set of item groups (terms in a query session, 
shopping cart content) and identifies, which individual items usually appear 
together.</p>
+               
+
+               Interested in helping? See the Wiki or send us an email. Also 
note, we are just getting off the ground, so please be patient as we get the 
various infrastructure pieces in place.
+
+        <p>For answers to your questions you might find the following 
documents useful:
+            </p><ul>
+                <li><a 
href="http://cwiki.apache.org/confluence/display/OFBADMIN/Apache+OFBiz+Getting+Started";>Apache
 OFBiz Getting Started</a></li>
+                <li><a href="http://cwiki.apache.org/confluence/x/DAFk";>Main 
New Features</a></li>
+                <li><a href="http://cwiki.apache.org/confluence/x/UgFk";>Is 
Apache OFBiz for Me?</a></li>
+            </ul>
+        <p></p>
+
+        <p>For more technical information, see the <a 
href="http://cwiki.apache.org/confluence/x/GoB2";>Documentation</a> page.</p>
+
+        <h3>Who is Using Apache OFBiz?</h3>
+            <p>It's hard to say who and how many organizations are using 
Apache OFBiz because you don't have to tell us when you use it, but there are 
lots of public sites.</p>
+            <p>For a list of sites and products based on OFBiz see the <a 
href="http://cwiki.apache.org/confluence/x/IQFk";>Apache OFBiz User List</a> 
page.</p>
+    </div>
+        <!-- main ends -->
+
+
+        <!-- sidebar starts -->
+        <div id="sidebar">
+
+            <div class="downloadNow"><a 
href="http://ofbiz.apache.org/download.html";><img 
src="images/download.png"></a></div>
+            <h3>Resources &amp; Tools</h3>
+            <ul class="sidemenu">
+                <li><a href="http://cwiki.apache.org/confluence/x/GoB2";>Main 
Documentation Page</a></li>
+                <li><a href="http://cwiki.apache.org/confluence/x/DAFk";>What 
is New?</a></li>
+                <li><a 
href="http://cwiki.apache.org/confluence/x/L4B2";>Mailing Lists</a></li>
+                <li><a 
href="https://issues.apache.org/jira/browse/OFBIZ";>Issue Tracker (Jira)</a></li>
+                <li><a href="http://cwiki.apache.org/confluence/x/BYB2";>Source 
Repository (SVN)</a></li>
+                <li><a href="http://fisheye6.cenqua.com/browse/ofbiz";>Source 
Browse and Stats (Fisheye)</a></li>
+                <li><a 
href="http://ci.apache.org/projects/ofbiz/site/javadocs/";>API Reference 
(Javadoc)</a></li>
+                <li><a 
href="http://cwiki.apache.org/confluence/display/OFBIZ";>Documentation Site: 
Wiki</a></li>
+                <li><a 
href="http://cwiki.apache.org/confluence/x/f4AHAQ";>Screenshots</a></li>
+                <li><a href="http://www.youtube.com/user/ofbiz";>Watch OFBiz on 
YouTube</a></li>
+                <li><a 
href="http://ofbiz.apache.org/VideosConf.html";>Conference Videos</a></li>
+                <li><a 
href="http://cwiki.apache.org/confluence/x/FoB2";>Books</a></li>
+                <li><a href="http://cwiki.apache.org/confluence/x/vQBk";>Open 
Source Projects, Standards</a></li>
+                <li><a href="http://cwiki.apache.org/confluence/x/jwBk"; 
target="_blank">Apache OFBiz Service Providers</a></li>
+                <li><a href="http://cwiki.apache.org/confluence/x/sID6"; 
target="_blank">In The News</a></li>
+            </ul>
+
+            <h3>Demo Sites</h3>
+            <ul class="sidemenu">
+                <li>Latest Trunk:
+                    <ul>
+                        <li><a 
href="http://demo-trunk.ofbiz.apache.org/ecommerce/control/main";>Front-End 
Store</a></li>
+                        <li><a 
href="https://demo-trunk.ofbiz.apache.org/catalog/control/login/main?USERNAME=flexadmin&PASSWORD=ofbiz&JavaScriptEnabled=Y";>Management
 Apps</a></li>
+                    </ul>
+                </li>
+                <li>09.04 Stable Release:
+                    <ul>
+                        <li><a 
href="http://demo-stable.ofbiz.apache.org/ecommerce/control/main";>Front-End 
Store</a></li>
+                        <li><a 
href="https://demo-stable.ofbiz.apache.org/catalog/control/login/main?USERNAME=flexadmin&PASSWORD=ofbiz&JavaScriptEnabled=Y";>Management
 Apps</a></li>
+                    </ul>
+                </li>
+            </ul>
+          
+            <h3>General Apache Software Foundation <a 
href="http://www.apache.org/foundation/thanks.html"; 
target="_blank">Sponsors</a></h3>
+        </div>
+        <!-- sidebar -->
+      </div>
+      <!-- content-wrap -->
+</div>
+<!-- wrap -->
+<!-- footer -->
+<div id="footer">
+      <div id="foot">
+            © Copyright 2001-2010 The Apache Software Foundation - 
www.apache.org
+      </div>
+</div>
+</body>
+</html>

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