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	<title></title>
	<link>http://dataminingtools.net/blog</link>
	<description></description>
	<lastBuildDate>Mon, 25 Jul 2011 08:51:53 +0000</lastBuildDate>
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	<item>
		<title>Radoop</title>
		<description><![CDATA[
Hadoop is an excellent tool for analyzing large data sets, but it lacks an easy-to-use graphical interface. RapidMiner is an excellent tool for data analytics, but its data size is limited by the memory available, and a single machine is often not enough to run the analyses on time. In this project, we combine the [...]]]></description>
		<link>http://dataminingtools.net/blog/2011/07/25/radoop/</link>
			</item>
	<item>
		<title>Google Predict Empowering Applications</title>
		<description><![CDATA[The Google Prediction API allows you to tap into Google’s machine learning algorithms that crunch data and give your possible outcomes, thereby helping you make your applications smarter.
Features

Lightweight RESTful API.
Asynchronous training.
Automatically selects from several available machine learning techniques.
Supported inputs: numeric data and unstructured text.
Outputs hundreds of discrete categories, or continuous values.
Gallery of pre-trained prediction models.
Ability to [...]]]></description>
		<link>http://dataminingtools.net/blog/2011/05/21/google-predict-empowering-applications/</link>
			</item>
	<item>
		<title>First look at Dhiti</title>
		<description><![CDATA[
Dhiti offers a RESTful API to our exploratory search platform. In short, our platform allows you to:

Upload a set of documents (html, or text) into a session.
Extract top topics, or concepts for a document, or a set of documents
Provide relevance feedback about articles, concepts or nuggets you like and dislike.
Recommendations subsequently change according to that.
Get [...]]]></description>
		<link>http://dataminingtools.net/blog/2011/05/21/first-look-at-dhiti/</link>
			</item>
	<item>
		<title>KNIME Beginner&#8217;s Luck</title>
		<description><![CDATA[KNIME (Konstanz Information Miner) is a user-friendly and comprehensive open-source data integration, processing, analysis, and exploration platform. 
&#8220;KNIME Beginner&#8217;s Luck&#8220; is a quick approach to KNIME for beginners.
More: Rosaria Silipo is a certified KNIME trainer and this book has been born from her lessons on KNIME and KNIME Reporting. It gives a detailed overview of the [...]]]></description>
		<link>http://dataminingtools.net/blog/2011/05/21/knime-beginners-luck/</link>
			</item>
	<item>
		<title>Humans vs Machine @ Jeopardy</title>
		<description><![CDATA[
[PC World &#38; BBC]
]]></description>
		<link>http://dataminingtools.net/blog/2011/02/23/humans-vs-machine-jeopardy/</link>
			</item>
	<item>
		<title>Data mining &amp; Hip Hop</title>
		<description><![CDATA[Tahir Hemphil data mined 30 years of hip-hop lyrics to provide a searchable index of the genre’s lexicon.
The project analyzes the lyrics of over 40,000 songs for metaphors, similes, cultural references, phrases, memes and socio-political ideas.[Project] The project is one of its kind with a huge potential offering to the hip hop world, not only can you [...]]]></description>
		<link>http://dataminingtools.net/blog/2011/02/23/data-mining-hip-hop/</link>
			</item>
	<item>
		<title>MIT Media Lab Spinout Bluefin Labs</title>
		<description><![CDATA[Bluefin empowers brands, agencies, and media companies with unprecedented insights about how audiences are responding to TV ads and the shows they run on.  Using deep machine learning born from MIT research, Bluefin technology aligns social media comments to their televised source—in real time and at scale.

The company was founded by Deb Roy and Michael [...]]]></description>
		<link>http://dataminingtools.net/blog/2011/02/23/mit-media-lab-spinout-bluefin-labs/</link>
			</item>
	<item>
		<title>Dataminingtools.net: What’s coming soon?</title>
		<description><![CDATA[A warm welcome into the new year!
We are excited as well, as we have lots in store for you in 2011!  Yes, we are working to provide you with lots of data mining content, to help you learn better and faster. Some attractions include, content/videos on SPSS,  SAS, and more. Some new features to [...]]]></description>
		<link>http://dataminingtools.net/blog/2011/01/06/dataminingtools-net-what%e2%80%99s-coming-soon/</link>
			</item>
	<item>
		<title>Data Mining Conferences 2010-2011</title>
		<description><![CDATA[A list of data mining research conferences, workshops, and meetings. Some of them are as follows:
[1] SIAM Conference on Data Mining (SDM 2011)
This conference provides a venue for researchers who are addressing these problems to present their work in a peer-reviewed forum. It also provides an ideal setting for graduate students and others new to [...]]]></description>
		<link>http://dataminingtools.net/blog/2010/12/01/data-mining-conferences-2010-2011/</link>
			</item>
	<item>
		<title>RapidAnalytics released at OSBI 2010</title>
		<description><![CDATA[Rapid-I now releases the first open source solution for business analytics. The process-oriented approach of RapidMiner and RapidAnalytics allows the direct and even real-time integration into business processes.

For more visit:
http://rapid-i.com/content/view/267/1/
]]></description>
		<link>http://dataminingtools.net/blog/2010/12/01/rapidanalytics-released-at-osbi-2010/</link>
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