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	<link>http://dataminingtools.net/blog</link>
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	<lastBuildDate>Mon, 25 Jul 2011 08:51:53 +0000</lastBuildDate>
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		<title>Radoop</title>
		<link>http://dataminingtools.net/blog/2011/07/25/radoop/</link>
		<comments>http://dataminingtools.net/blog/2011/07/25/radoop/#comments</comments>
		<pubDate>Mon, 25 Jul 2011 08:51:41 +0000</pubDate>
		<dc:creator>Vikramaditya Jakkula</dc:creator>
				<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Technology]]></category>
		<category><![CDATA[Tools]]></category>
		<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://dataminingtools.net/blog/?p=691</guid>
		<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>
			<content:encoded><![CDATA[<p><a rel="attachment wp-att-690" href="http://dataminingtools.net/blog/2011/07/25/radoop/radoop-bigweb-268x300/"><img class="aligncenter size-full wp-image-690" title="radoop" src="http://dataminingtools.net/blog/wp-content/uploads/2011/07/radoop-bigweb-268x300.png" alt="" width="268" height="300" /></a></p>
<p>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 strengths of both projects and provide a RapidMiner extension for editing and running ETL, data analytics and machine learning processes over Hadoop.</p>
<p><a href="http://radoop.eu/" target="_blank">Apply for Beta Today!</a></p>
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		<title>Google Predict Empowering Applications</title>
		<link>http://dataminingtools.net/blog/2011/05/21/google-predict-empowering-applications/</link>
		<comments>http://dataminingtools.net/blog/2011/05/21/google-predict-empowering-applications/#comments</comments>
		<pubDate>Sun, 22 May 2011 04:32:14 +0000</pubDate>
		<dc:creator>Vikramaditya Jakkula</dc:creator>
				<category><![CDATA[Data Mining]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Technology]]></category>
		<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://dataminingtools.net/blog/?p=687</guid>
		<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>
			<content:encoded><![CDATA[<p>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.</p>
<h2>Features</h2>
<ul>
<li>Lightweight RESTful API.</li>
<li>Asynchronous training.</li>
<li>Automatically selects from several available machine learning techniques.</li>
<li>Supported inputs: numeric data and unstructured text.</li>
<li>Outputs hundreds of discrete categories, or continuous values.</li>
<li>Gallery of pre-trained prediction models.</li>
<li>Ability to add new training data on the fly.</li>
<li>Accessible from many platforms: Google App Engine, Apps Script (Google Spreadsheets), web &amp; desktop apps, and command line.</li>
</ul>
<p>Read More: <a href="http://code.google.com/apis/predict/">http://code.google.com/apis/predict/</a></p>
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		<title>First look at Dhiti</title>
		<link>http://dataminingtools.net/blog/2011/05/21/first-look-at-dhiti/</link>
		<comments>http://dataminingtools.net/blog/2011/05/21/first-look-at-dhiti/#comments</comments>
		<pubDate>Sun, 22 May 2011 04:27:13 +0000</pubDate>
		<dc:creator>Vikramaditya Jakkula</dc:creator>
				<category><![CDATA[Data Mining]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Technology]]></category>

		<guid isPermaLink="false">http://dataminingtools.net/blog/?p=685</guid>
		<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>
			<content:encoded><![CDATA[<p><object classid="clsid:d27cdb6e-ae6d-11cf-96b8-444553540000" width="480" height="390" codebase="http://download.macromedia.com/pub/shockwave/cabs/flash/swflash.cab#version=6,0,40,0"><param name="allowFullScreen" value="true" /><param name="allowscriptaccess" value="always" /><param name="src" value="http://www.youtube.com/v/bTcdZcHBR2g?fs=1&amp;hl=en_US" /><param name="allowfullscreen" value="true" /><embed type="application/x-shockwave-flash" width="480" height="390" src="http://www.youtube.com/v/bTcdZcHBR2g?fs=1&amp;hl=en_US" allowscriptaccess="always" allowfullscreen="true"></embed></object></p>
<p>Dhiti offers a RESTful API to our exploratory search platform. In short, our platform allows you to:</p>
<ul>
<li>Upload a set of documents (html, or text) into a session.</li>
<li>Extract top topics, or concepts for a document, or a set of documents</li>
<li>Provide relevance feedback about articles, concepts or nuggets you like and dislike.<br />
Recommendations subsequently change according to that.</li>
<li>Get recommendations of nuggets, articles or categories for a pivot. A pivot can be,
<ul>
<li>a url (of a document already added)</li>
<li>a string (treated as a query)</li>
<li>a category</li>
<li>your preferences – based on the relevance feedback</li>
</ul>
</li>
<li>Persist the session, along with your preferences</li>
</ul>
<p>Some applications of our API:</p>
<ul>
<li>Content discovery on publishing sites. <a href="http://dhiti.com/">Dhiti Dive</a>.</li>
<li>Explore pages and topics on any page on the web. <a href="http://drilll.com/">Drilll</a></li>
<li>Convert your incoming twitter stream into a research library. <a href="http://intweetion.com/">Intweetion</a></li>
<li>Get short, relevant previews from a book. Eg: <a href="http://nuggetize.com/theselfishgene?expand=1">Preview for the Selfish Gene</a></li>
</ul>
<p>More: <a href="http://dhiti.com/api/">http://dhiti.com/api/</a></p>
<p><a class="a2a_dd addtoany_share_save" href="http://www.addtoany.com/share_save?linkurl=http%3A%2F%2Fdataminingtools.net%2Fblog%2F2011%2F05%2F21%2Ffirst-look-at-dhiti%2F&amp;linkname=First%20look%20at%20Dhiti"><img src="http://dataminingtools.net/blog/wp-content/plugins/add-to-any/share_save_171_16.png" width="171" height="16" alt="Share/Bookmark"/></a></p>]]></content:encoded>
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		<enclosure url="http://www.youtube.com/v/bTcdZcHBR2g?fs=1&amp;amp;hl=en_US" length="986" type="application/x-shockwave-flash" /><media:content url="http://www.youtube.com/v/bTcdZcHBR2g?fs=1&amp;amp;hl=en_US" fileSize="986" type="application/x-shockwave-flash" /><itunes:explicit>no</itunes:explicit><itunes:subtitle> 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 feedbac</itunes:subtitle><itunes:summary> 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 [...]</itunes:summary><itunes:keywords>Data Mining, Machine Learning, Technology</itunes:keywords></item>
		<item>
		<title>KNIME Beginner’s Luck</title>
		<link>http://dataminingtools.net/blog/2011/05/21/knime-beginners-luck/</link>
		<comments>http://dataminingtools.net/blog/2011/05/21/knime-beginners-luck/#comments</comments>
		<pubDate>Sun, 22 May 2011 04:04:41 +0000</pubDate>
		<dc:creator>Vikramaditya Jakkula</dc:creator>
				<category><![CDATA[Data Mining]]></category>
		<category><![CDATA[Education]]></category>

		<guid isPermaLink="false">http://dataminingtools.net/blog/?p=680</guid>
		<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>
			<content:encoded><![CDATA[<p>KNIME (Konstanz Information Miner) is a user-friendly and comprehensive open-source <span><span style="font-size: x-small;">data integration, processing, analysis, and exploration platform. </span></span></p>
<p>&#8220;KNIME Beginner&#8217;s Luck<a href="http://knime.org/knimepress/beginners-luck" target="_blank">&#8220;</a> is a quick approach to KNIME for beginners.</p>
<p>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 main tools and philosphy of the KNIME data analysis platform. The goal is to empower new KNIME users with the necessary knowledge to start analysing, manipulating, and reporting even complex data.</p>
<p>Link: <a href="http://knime.org/knimepress/beginners-luck">http://knime.org/knimepress/beginners-luck</a></p>
<p><a rel="attachment wp-att-681" href="http://dataminingtools.net/blog/2011/05/21/knime-beginners-luck/beginnersluck_cover/"><img class="aligncenter size-medium wp-image-681" title="BeginnersLuck_cover" src="http://dataminingtools.net/blog/wp-content/uploads/2011/05/BeginnersLuck_cover-300x212.png" alt="" width="300" height="212" /></a></p>
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		<title>Humans vs Machine @ Jeopardy</title>
		<link>http://dataminingtools.net/blog/2011/02/23/humans-vs-machine-jeopardy/</link>
		<comments>http://dataminingtools.net/blog/2011/02/23/humans-vs-machine-jeopardy/#comments</comments>
		<pubDate>Wed, 23 Feb 2011 19:21:32 +0000</pubDate>
		<dc:creator>Vikramaditya Jakkula</dc:creator>
				<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://dataminingtools.net/blog/?p=678</guid>
		<description><![CDATA[
[PC World &#38; BBC]
]]></description>
			<content:encoded><![CDATA[<p><object classid="clsid:d27cdb6e-ae6d-11cf-96b8-444553540000" width="450" height="283" codebase="http://download.macromedia.com/pub/shockwave/cabs/flash/swflash.cab#version=6,0,40,0"><param name="allowFullScreen" value="true" /><param name="allowscriptaccess" value="always" /><param name="src" value="http://www.youtube.com/v/m7EBkAjahBk?fs=1&amp;hl=en_US&amp;rel=0" /><param name="allowfullscreen" value="true" /><embed type="application/x-shockwave-flash" width="450" height="283" src="http://www.youtube.com/v/m7EBkAjahBk?fs=1&amp;hl=en_US&amp;rel=0" allowscriptaccess="always" allowfullscreen="true"></embed></object></p>
<p>[<a href="http://www.pcworld.com/article/220056/watson_beats_jeopardys_best_whats_next.html" target="_blank">PC World</a> &amp; <a href="http://www.bbc.co.uk/news/technology-12491688" target="_blank">BBC</a>]</p>
<p><a class="a2a_dd addtoany_share_save" href="http://www.addtoany.com/share_save?linkurl=http%3A%2F%2Fdataminingtools.net%2Fblog%2F2011%2F02%2F23%2Fhumans-vs-machine-jeopardy%2F&amp;linkname=Humans%20vs%20Machine%20%40%20Jeopardy"><img src="http://dataminingtools.net/blog/wp-content/plugins/add-to-any/share_save_171_16.png" width="171" height="16" alt="Share/Bookmark"/></a></p>]]></content:encoded>
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		<enclosure url="http://www.youtube.com/v/m7EBkAjahBk?fs=1&amp;amp;hl=en_US&amp;amp;rel=0" length="979" type="application/x-shockwave-flash" /><media:content url="http://www.youtube.com/v/m7EBkAjahBk?fs=1&amp;amp;hl=en_US&amp;amp;rel=0" fileSize="979" type="application/x-shockwave-flash" /><itunes:explicit>no</itunes:explicit><itunes:subtitle> [PC World &amp;#38; BBC] </itunes:subtitle><itunes:summary> [PC World &amp;#38; BBC] </itunes:summary><itunes:keywords>Machine Learning, news</itunes:keywords></item>
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		<title>Data mining &amp; Hip Hop</title>
		<link>http://dataminingtools.net/blog/2011/02/23/data-mining-hip-hop/</link>
		<comments>http://dataminingtools.net/blog/2011/02/23/data-mining-hip-hop/#comments</comments>
		<pubDate>Wed, 23 Feb 2011 19:16:58 +0000</pubDate>
		<dc:creator>Vikramaditya Jakkula</dc:creator>
				<category><![CDATA[Data Mining]]></category>
		<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://dataminingtools.net/blog/?p=675</guid>
		<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>
			<content:encoded><![CDATA[<p><a href="http://tahirhemphill.com/portfolio/projects.html" target="_blank">Tahir Hemphil</a> data mined 30 years of hip-hop lyrics to provide a searchable index of the genre’s lexicon.</p>
<p>The project analyzes the lyrics of over 40,000 songs for metaphors, similes, cultural references, phrases, memes and socio-political ideas.[<a href="http://www.kickstarter.com/projects/1801076626/the-hip-hop-word-count-a-searchable-rap-almanac" target="_blank">Project</a>] The project is one of its kind with a huge potential offering to the hip hop world, not only can you visualize the artists career&#8217;s but also have deeper analysis into their world where you can potential patternize their music.</p>
<p><iframe frameborder="0" height="410px" src="http://www.kickstarter.com/projects/1801076626/the-hip-hop-word-count-a-searchable-rap-almanac/widget/video.html" width="480px"></iframe></p>
<p>Interesting Links:</p>
<ul>
<li><a href="http://www.eyebeam.org/taxonomy/term/5029">http://www.eyebeam.org/taxonomy/term/5029</a></li>
<li><a href="https://spreadsheets.google.com/ccc?key=0Aju92oYl3qVTdFUzdGZPVFh6Tld0YUd1VWhzaVd5ZFE&amp;hl=en#gid=0">https://spreadsheets.google.com/ccc?key=0Aju92oYl3qVTdFUzdGZPVFh6Tld0YUd1VWhzaVd5ZFE&amp;hl=en#gid=0</a></li>
<li><a href="http://www.hiphoparchive.org/">http://www.hiphoparchive.org/</a></li>
</ul>
<p>[Read more @ <a href="http://www.wired.com/epicenter/2011/02/datamining-hip-hops-history/" target="_blank">Wired</a>]</p>
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		<title>MIT Media Lab Spinout Bluefin Labs</title>
		<link>http://dataminingtools.net/blog/2011/02/23/mit-media-lab-spinout-bluefin-labs/</link>
		<comments>http://dataminingtools.net/blog/2011/02/23/mit-media-lab-spinout-bluefin-labs/#comments</comments>
		<pubDate>Wed, 23 Feb 2011 17:40:55 +0000</pubDate>
		<dc:creator>Vikramaditya Jakkula</dc:creator>
				<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://dataminingtools.net/blog/?p=671</guid>
		<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>
			<content:encoded><![CDATA[<p>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.</p>
<p><object id="player-single" classid="clsid:d27cdb6e-ae6d-11cf-96b8-444553540000" width="320" height="320" codebase="http://download.macromedia.com/pub/shockwave/cabs/flash/swflash.cab#version=6,0,40,0"><param name="allowScriptAcess" value="sameDomain" /><param name="quality" value="high" /><param name="wmode" value="transparent" /><param name="flashvars" value="playlistpath=bluefinlabs/48357" /><param name="src" value="http://multivu.prnewswire.com/mnr/mnr_lib/201002/players/player-single.swf?job=48357" /><param name="name" value="player-single" /><embed id="player-single" type="application/x-shockwave-flash" width="320" height="320" src="http://multivu.prnewswire.com/mnr/mnr_lib/201002/players/player-single.swf?job=48357" name="player-single" flashvars="playlistpath=bluefinlabs/48357" wmode="transparent" quality="high" allowscriptacess="sameDomain"></embed></object></p>
<p>The company was founded by Deb Roy and Michael Fleischman based on their research at the MIT Media Lab.  Roy is a tenured professor at MIT who has pioneered research on human communication using massive data sets and cognitive modeling. He has taken leave from MIT to head up Bluefin.</p>
<p>[<a href="http://multivu.prnewswire.com/mnr/bluefinlabs/48357/" target="_blank"> Read More</a>]</p>
<p><a class="a2a_dd addtoany_share_save" href="http://www.addtoany.com/share_save?linkurl=http%3A%2F%2Fdataminingtools.net%2Fblog%2F2011%2F02%2F23%2Fmit-media-lab-spinout-bluefin-labs%2F&amp;linkname=MIT%20Media%20Lab%20Spinout%20Bluefin%20Labs"><img src="http://dataminingtools.net/blog/wp-content/plugins/add-to-any/share_save_171_16.png" width="171" height="16" alt="Share/Bookmark"/></a></p>]]></content:encoded>
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		<enclosure url="http://multivu.prnewswire.com/mnr/mnr_lib/201002/players/player-single.swf?job=48357" length="18311" type="application/x-shockwave-flash" /><media:content url="http://multivu.prnewswire.com/mnr/mnr_lib/201002/players/player-single.swf?job=48357" fileSize="18311" type="application/x-shockwave-flash" /><itunes:explicit>no</itunes:explicit><itunes:subtitle>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</itunes:subtitle><itunes:summary>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 [...]</itunes:summary><itunes:keywords>Machine Learning, news</itunes:keywords></item>
		<item>
		<title>Dataminingtools.net: What’s coming soon?</title>
		<link>http://dataminingtools.net/blog/2011/01/06/dataminingtools-net-what%e2%80%99s-coming-soon/</link>
		<comments>http://dataminingtools.net/blog/2011/01/06/dataminingtools-net-what%e2%80%99s-coming-soon/#comments</comments>
		<pubDate>Fri, 07 Jan 2011 06:53:28 +0000</pubDate>
		<dc:creator>Vikramaditya Jakkula</dc:creator>
				<category><![CDATA[Dataminingtools.net]]></category>

		<guid isPermaLink="false">http://dataminingtools.net/blog/?p=669</guid>
		<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>
			<content:encoded><![CDATA[<p>A warm welcome into the new year!</p>
<p>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 look out for includes, improved dmCertify section, where you can check your data mining knowledge and practice towards industry certification as well.  So keep a look out for the new content which will be released soon.</p>
<p>Happy learning!</p>
<p>- Dataminingtools.net Team</p>
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		<title>Data Mining Conferences 2010-2011</title>
		<link>http://dataminingtools.net/blog/2010/12/01/data-mining-conferences-2010-2011/</link>
		<comments>http://dataminingtools.net/blog/2010/12/01/data-mining-conferences-2010-2011/#comments</comments>
		<pubDate>Thu, 02 Dec 2010 00:04:13 +0000</pubDate>
		<dc:creator>Vikramaditya Jakkula</dc:creator>
				<category><![CDATA[Data Mining]]></category>
		<category><![CDATA[Events]]></category>
		<category><![CDATA[Conference]]></category>
		<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://dataminingtools.net/blog/?p=664</guid>
		<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>
			<content:encoded><![CDATA[<p>A list of data mining research conferences, workshops, and meetings. Some of them are as follows:</p>
<p>[1] <strong>SIAM Conference on Data Mining</strong> (SDM 2011)<br />
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 the field to learn about cutting-edge research by hearing outstanding invited speakers and attending tutorials (included with conference registration). A set of focused workshops are also held on the last day of the conference. The proceedings of the conference are published in archival form, and are also made available on the SIAM web site.<br />
Website: <a href="http://www.siam.org/meetings/sdm11/">http://www.siam.org/meetings/sdm11/</a></p>
<p>[2] <strong>SIGKDD Conference on Knowledge Discovery and Data Mining</strong><br />
The annual ACM SIGKDD conference is the premier international forum for data mining researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences. KDD-2011 will feature keynote presentations, oral paper presentations, poster sessions, workshops, tutorials, panels, exhibits, demonstrations, and the KDD Cup competition.<br />
Website: <a href="http://kdd.org/kdd/2011/">http://kdd.org/kdd/2011/</a></p>
<p>[3] <strong>ACM SIGMOD 2011</strong><br />
The annual ACM SIGMOD/PODS conference is a leading international forum for database researchers, practitioners, developers, and users to explore cutting-edge ideas and results, and to exchange techniques, tools, and experiences.<br />
Website: <a href="http://www.sigmod2011.org/index.shtml">http://www.sigmod2011.org/index.shtml</a></p>
<p>[4] <strong>IJCAI 2011</strong><br />
The IJCAI-11 Program Committee invites submissions of technical papers for IJCAI-11, to be held in Barcelona, Spain, July 19-22, 2011. Submissions are invited on significant, original, and previously unpublished research on all aspects of artificial intelligence. The theme of IJCAI-11 is “Integrated and Embedded Artificial Intelligence” (IEAI) with a focus on artificial intelligence that crosses discipline boundaries within AI, and between AI and other disciplines. Building systems often requires techniques from more than one area (e.g. both machine learning and natural language processing, or both planning and preference representation). In addition, larger systems often have AI components embedded within that provide intelligent functionalities such as learning and reasoning. The conference will include a special track dedicated to such work.<br />
Website: <a href="http://ijcai-11.iiia.csic.es/">http://ijcai-11.iiia.csic.es/</a></p>
<p>[5]<strong> ECML PKDD 2011</strong><br />
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) will take place in Athens, Greece from September 5th to 9th, 2011. This event builds upon a very successful series of 21 ECML and 14 PKDD conferences, which have been jointly organized for the past ten years.<br />
Website: <a href="http://www.ecmlpkdd2011.org/">http://www.ecmlpkdd2011.org/</a></p>
<p>Other Conferences:</p>
<p><strong>[6] TDWI World Series Conference</strong><br />
What is your corporate data strategy? Most business and IT professionals point to their data models, data quality tools, or even a spreadsheet data “dictionary.” Maybe you’re just getting started with a new data quality project. Maybe you already have several data management initiatives in place and are making good progress. Or perhaps you’ve recently inherited the mess someone else made. In any case, does your right hand know what your left is up to? Several departmental data initiatives—even successful ones—do not equal a corporate data strategy. TDWI fosters a community of learning where business and technical professionals come together to gain knowledge and skills, network with peers, and advance their careers. Through education and research programs, TDWI enables individuals, teams, and organizations to leverage information to improve decision making, optimize performance, and achieve business objectives.<br />
Website: <a href="http://events.tdwi.org/events/las-vegas-world-conference-2011/home.aspx?utm_source=AttendeeMktg&amp;utm_medium=E-Mail&amp;utm_campaign=lv20g">http://events.tdwi.org/events/las-vegas-world-conference-2011/home.aspx?utm_source=AttendeeMktg&amp;utm_medium=E-Mail&amp;utm_campaign=lv20g</a></p>
<p>Realizing the popularity, and the need of Data Mining in the road ahead, has resulted into organizing many more conferences (also conferences into  many more specialized data mining streams) to be held all over the world. So, many more conferences, lots of research and great innovations and discoveries lay ahead.</p>
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		<title>RapidAnalytics released at OSBI 2010</title>
		<link>http://dataminingtools.net/blog/2010/12/01/rapidanalytics-released-at-osbi-2010/</link>
		<comments>http://dataminingtools.net/blog/2010/12/01/rapidanalytics-released-at-osbi-2010/#comments</comments>
		<pubDate>Wed, 01 Dec 2010 23:44:55 +0000</pubDate>
		<dc:creator>Vikramaditya Jakkula</dc:creator>
				<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Technology]]></category>
		<category><![CDATA[Tools]]></category>
		<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://dataminingtools.net/blog/?p=665</guid>
		<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>
			<content:encoded><![CDATA[<p>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.</p>
<p><object classid="clsid:d27cdb6e-ae6d-11cf-96b8-444553540000" width="425" height="344" codebase="http://download.macromedia.com/pub/shockwave/cabs/flash/swflash.cab#version=6,0,40,0"><param name="allowFullScreen" value="true" /><param name="allowscriptaccess" value="always" /><param name="src" value="http://www.youtube.com/v/hDJpQAz6Ni0?fs=1&amp;hl=en_US&amp;rel=0&amp;color1=0xe1600f&amp;color2=0xfebd01" /><param name="allowfullscreen" value="true" /><embed type="application/x-shockwave-flash" width="425" height="344" src="http://www.youtube.com/v/hDJpQAz6Ni0?fs=1&amp;hl=en_US&amp;rel=0&amp;color1=0xe1600f&amp;color2=0xfebd01" allowscriptaccess="always" allowfullscreen="true"></embed></object></p>
<p>For more visit:</p>
<p><a href="http://rapid-i.com/content/view/267/1/">http://rapid-i.com/content/view/267/1/</a></p>
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