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<channel>
	<title> &#187; Data Mining</title>
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	<link>http://dataminingtools.net/blog</link>
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		<title>RCOMM 2010: Rapid Miner Conference</title>
		<link>http://dataminingtools.net/blog/2010/07/16/rcomm-2010-rapid-miner-conference/</link>
		<comments>http://dataminingtools.net/blog/2010/07/16/rcomm-2010-rapid-miner-conference/#comments</comments>
		<pubDate>Sat, 17 Jul 2010 03:14:24 +0000</pubDate>
		<dc:creator>Vikramaditya Jakkula</dc:creator>
				<category><![CDATA[Data Mining]]></category>
		<category><![CDATA[Events]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[Conference]]></category>

		<guid isPermaLink="false">http://dataminingtools.net/blog/?p=601</guid>
		<description><![CDATA[RapidMiner Community Meeting And Conference &#8211; RCOMM 2010
As RapidMiner has once again proved to be the most-used open source data mining tool among the community of data analysts world-wide in a recent poll, it is now the time to give a face to that community. Therefore, Rapid-I hosts the first RapidMiner Community Meeting And Conference (RCOMM [...]]]></description>
			<content:encoded><![CDATA[<p>RapidMiner Community Meeting And Conference &#8211; RCOMM 2010</p>
<p>As RapidMiner has once again proved to be the most-used open source data mining tool among the community of data analysts world-wide in a recent poll, it is now the time to give a face to that community. Therefore, Rapid-I hosts the first <strong>RapidMiner Community Meeting And Conference (RCOMM 2010)</strong> and invites users and developers of RapidMiner to take part and share their RapidMiner experiences with other members of the community. The <strong>RCOMM 2010 </strong>intends to intensify the community life and strengthen the RapidMiner network by bringing together users and developers of RapidMiner from all backgrounds, may they be scientific or commercial, from the whole variety of applications and from all grades of knowledge. A vital exchange of ideas, application reports, and scientific results will help beginners to advance and will inspire the already advanced leading them to professionalism. Users will profit from in-depth knowledge of developers, who in turn will gain from picking up requirements and ideas for further development.</p>
<p>The <strong>RCOMM 2010 </strong>encompasses conference talks, in which invited lecturers will discuss aspects of state-of-the-art data mining with RapidMiner. A Call-for-Papers will be issued for those who would like to present their work in that scope. Workshops will be held to give participants a hands-on experience concerning several topics regarding RapidMiner usage. Additionally, attendees of the <strong>RCOMM 2010</strong> will also have the option to participate in several courses given by professional RapidMiner consultants in the surrounding of the user meeting.</p>
<div id="_mcePaste">Dates &amp; Deadlines:</div>
<div>Submission Deadline:August 6, 2010</div>
<div id="_mcePaste">Notification of Acceptance:August 13, 2010</div>
<div id="_mcePaste">Camera-ready Papers:August 20, 2010</div>
<div id="_mcePaste">Conference: September 13 &#8211; 16, 2010</div>
<p>Visit Conference Home: <a href="http://rapid-i.com/rcomm/index.php?option=com_frontpage&amp;Itemid=28" target="_blank">RCOMM</a><br />
Registration Link: <a href="http://rapid-i.com/rcomm/index.php?option=com_content&amp;task=view&amp;id=20&amp;Itemid=34" target="_blank">Registration</a><br />
Schedule Link: <a href="http://rapid-i.com/rcomm/index.php?option=com_content&amp;task=view&amp;id=14&amp;Itemid=29" target="_blank">Schedule</a></p>
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		<title>Watson! Dear Watson!</title>
		<link>http://dataminingtools.net/blog/2010/06/21/watson-dear-watson/</link>
		<comments>http://dataminingtools.net/blog/2010/06/21/watson-dear-watson/#comments</comments>
		<pubDate>Tue, 22 Jun 2010 05:06:37 +0000</pubDate>
		<dc:creator>Vikramaditya Jakkula</dc:creator>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Data Mining]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[Technology]]></category>

		<guid isPermaLink="false">http://dataminingtools.net/blog/?p=589</guid>
		<description><![CDATA[For the last few years, IBM scientists have been developing the most advanced &#8220;question answering&#8221; machine, able to understand a question posed by the user, and is expected to respond with a precise answer. In other words, it must do more than what search engines like Google and Bing do, which is merely point to [...]]]></description>
			<content:encoded><![CDATA[<p>For the last few years, IBM scientists have been developing the most advanced &#8220;question answering&#8221; machine, able to understand a question posed by the user, and is expected to respond with a precise answer. In other words, it must do more than what search engines like Google and Bing do, which is merely point to a set of results where you might find the answer. But Watson has to give the correct answer itself. Lets look at Watson in a trivia challenge:</p>
<p><object classid="clsid:d27cdb6e-ae6d-11cf-96b8-444553540000" width="450" height="405" 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/FC3IryWr4c8&amp;hl=en_US&amp;fs=1&amp;rel=0&amp;color1=0xe1600f&amp;color2=0xfebd01&amp;border=1" /><param name="allowfullscreen" value="true" /><embed type="application/x-shockwave-flash" width="450" height="405" src="http://www.youtube.com/v/FC3IryWr4c8&amp;hl=en_US&amp;fs=1&amp;rel=0&amp;color1=0xe1600f&amp;color2=0xfebd01&amp;border=1" allowscriptaccess="always" allowfullscreen="true"></embed></object></p>
<p>[ <a href="http://cosmiclog.msnbc.msn.com/_news/2010/06/17/4524266-supercomputer-plays-jeopardy" target="_blank">MSNBC</a> ]</p>
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		<title>Future Technology Research from Intel on Display</title>
		<link>http://dataminingtools.net/blog/2010/05/14/future-technology-research-from-intel-on-display/</link>
		<comments>http://dataminingtools.net/blog/2010/05/14/future-technology-research-from-intel-on-display/#comments</comments>
		<pubDate>Fri, 14 May 2010 11:45:43 +0000</pubDate>
		<dc:creator>Vikramaditya Jakkula</dc:creator>
				<category><![CDATA[Data Mining]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[Technology]]></category>
		<category><![CDATA[Tools]]></category>

		<guid isPermaLink="false">http://dataminingtools.net/blog/?p=564</guid>
		<description><![CDATA[
Future Technologies Group, part of Intel Labs, are researchers who research into technology which humans could use in the future. Recently they did conduct a display of some of the ongoing research, which is more like a open house event. Some interesting next generation projects are as follows:

Highly accurate facial-recognition system
Personal energy system
Interactive Digital Aura
ClassmateAssist
Summarize [...]]]></description>
			<content:encoded><![CDATA[<div id="attachment_565" class="wp-caption aligncenter" style="width: 310px"><a rel="attachment wp-att-565" href="http://dataminingtools.net/blog/2010/05/14/future-technology-research-from-intel-on-display/intel-science-fair-3_540x360/"><img class="size-medium wp-image-565" title="intel-science-fair" src="http://dataminingtools.net/blog/wp-content/uploads/2010/05/intel-science-fair-3_540x360-300x200.jpg" alt="" width="300" height="200" /></a><p class="wp-caption-text">Photo by James Martin/CNET</p></div>
<p style="text-align: center;">
<p>Future Technologies Group, part of Intel Labs, are researchers who research into technology which humans could use in the future. Recently they did conduct a display of some of the ongoing research, which is more like a open house event. Some interesting next generation projects are as follows:</p>
<ul>
<li>Highly accurate facial-recognition system</li>
<li>Personal energy system</li>
<li>Interactive Digital Aura</li>
<li>ClassmateAssist</li>
<li>Summarize (Text to Speech Software)</li>
<li>Augmented Image Reality</li>
</ul>
<p>[More at <a href="http://news.cnet.com/2300-11386_3-10003388.html?tag=mncol" target="_blank">CNET</a>]</p>
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		<title>Hospitals are being empowered with data mining for better patient payments</title>
		<link>http://dataminingtools.net/blog/2010/05/14/hospitals-are-being-empowered-with-data-mining-for-better-patient-payments/</link>
		<comments>http://dataminingtools.net/blog/2010/05/14/hospitals-are-being-empowered-with-data-mining-for-better-patient-payments/#comments</comments>
		<pubDate>Fri, 14 May 2010 11:32:44 +0000</pubDate>
		<dc:creator>Vikramaditya Jakkula</dc:creator>
				<category><![CDATA[Data Mining]]></category>
		<category><![CDATA[Technology]]></category>

		<guid isPermaLink="false">http://dataminingtools.net/blog/?p=561</guid>
		<description><![CDATA[Yes, Hospitals are now keenly observing their customers! Yes, not only watching over the patiences and saving lifes, but also at the after process where the client could potential be a back burner during payments, and need to be chased down the road for bill payments.
The goal of the process is to catch the patients [...]]]></description>
			<content:encoded><![CDATA[<p>Yes, Hospitals are now keenly observing their customers! Yes, not only watching over the patiences and saving lifes, but also at the after process where the client could potential be a back burner during payments, and need to be chased down the road for bill payments.</p>
<p>The goal of the process is to catch the patients before they leave the hospital, help them realize the various options with respect to payments, and avoid chasing them later. The billing software companies are helping hospitals by providing information on patients who have enough assets to make payments.</p>
<p><em>&#8220;We know that 30 percent of the population won&#8217;t pay because they can&#8217;t afford to, and 30 percent will pay, said Stephen Mooney, president of Conifer&#8217;s Revenue Cycle Solutions unit in Frisco, Tex. His company aims to identify the remaining 40 percent who have some assets but need help figuring out whether and how they can afford their bill&#8221; &#8211;  <a href="http://www.businessweek.com/magazine/content/10_20/b4178022128406.htm" target="_blank">BusinessWeek</a></em></p>
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		<title>Infection control programs are using data mining technology</title>
		<link>http://dataminingtools.net/blog/2010/05/07/infection-control-programs-are-using-data-mining-technology/</link>
		<comments>http://dataminingtools.net/blog/2010/05/07/infection-control-programs-are-using-data-mining-technology/#comments</comments>
		<pubDate>Fri, 07 May 2010 11:45:20 +0000</pubDate>
		<dc:creator>Vikramaditya Jakkula</dc:creator>
				<category><![CDATA[Data Mining]]></category>
		<category><![CDATA[Technology]]></category>

		<guid isPermaLink="false">http://dataminingtools.net/blog/?p=558</guid>
		<description><![CDATA[Infection control within hospitals is a huge and a rapidly growing problem.In response, Medicare and private insurers are restricting payment for care of patients with HAIs. While many hospitals have made infection control a top priority, the historic challenge facing nurses, physicians, pharmacists and others charged with managing this problem has been combing through hundreds [...]]]></description>
			<content:encoded><![CDATA[<div id="_mcePaste">Infection control within hospitals is a huge and a rapidly growing problem.In response, Medicare and private insurers are restricting payment for care of patients with HAIs. While many hospitals have made infection control a top priority, the historic challenge facing nurses, physicians, pharmacists and others charged with managing this problem has been combing through hundreds of records every day to identify trends or track individual patients.All hospitals, even small ones, contain huge amounts of data in paper and electronic records, often contained in separate departments or software applications. Here is where data mining plays a major role. Data mining is now being used to automatically monitor clinical information among these disparate data sets including pharmacy, lab, admission/discharge and medical transcripts.By applying algorithms such as, association rules, Bayesian classification and regression analysis to large data sets to identify patterns and meanings, hospitals  can spot trends that would otherwise be hidden and not available with simple reports.</div>
<div></div>
<div>[<a href="http://www.infectioncontroltoday.com/hotnews/data-mining-for-infection-control.html" target="_blank">Infection Control Today</a>]</div>
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		<title>Data Mining helps win a Pulitzer</title>
		<link>http://dataminingtools.net/blog/2010/04/18/data-mining-helps-win-a-pulitzer/</link>
		<comments>http://dataminingtools.net/blog/2010/04/18/data-mining-helps-win-a-pulitzer/#comments</comments>
		<pubDate>Mon, 19 Apr 2010 03:35:29 +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=528</guid>
		<description><![CDATA[2010 Pulitzer Prize winners for Journalism: Awarded to the Bristol (VA) Herald Courier for the work of Daniel Gilbert in illuminating the murky mismanagement of natural-gas royalties owed to thousands of land owners in southwest Virginia, spurring remedial action by state lawmakers.
Gilbert spend over 13 months to get to the bottom of the issue, and [...]]]></description>
			<content:encoded><![CDATA[<p>2010 Pulitzer Prize winners for Journalism: Awarded to the Bristol (VA) Herald Courier for the work of Daniel Gilbert in illuminating the murky mismanagement of natural-gas royalties owed to thousands of land owners in southwest Virginia, spurring remedial action by state lawmakers.</p>
<p>Gilbert spend over 13 months to get to the bottom of the issue, and this investigation also  involved data mining knowledge to catch the irregularities. His work uncovered millions in delinquent payments to landowners thanks to a Virginia law that allowed natural gas companies to set up a complicated royalty system that often never meted out money to its rightful owners. It resulted in making changes in this law which are currently being reviewed.</p>
<p>About Pulitzer Prize:<br />
The Pulitzer Prize is a U.S. award for achievements in newspaper journalism, literature and musical composition. Prizes are awarded yearly in twenty-one categories. In twenty of these, each winner receives a certificate and a US$10,000 cash award.</p>
<p>[<a href="http://www.editorandpublisher.com/eandp/news/article_display.jsp?vnu_content_id=1004082661" target="_blank">EditorandPublisher</a>]</p>
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		<title>SAS leading the way in social media data mining with new tool offering</title>
		<link>http://dataminingtools.net/blog/2010/04/18/sas-leading-the-way-in-social-media-data-mining-with-new-tool-offering/</link>
		<comments>http://dataminingtools.net/blog/2010/04/18/sas-leading-the-way-in-social-media-data-mining-with-new-tool-offering/#comments</comments>
		<pubDate>Sun, 18 Apr 2010 15:11:19 +0000</pubDate>
		<dc:creator>Vikramaditya Jakkula</dc:creator>
				<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Data Mining]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[Technology]]></category>
		<category><![CDATA[Tools]]></category>

		<guid isPermaLink="false">http://dataminingtools.net/blog/?p=524</guid>
		<description><![CDATA[Recently, we did read about large corporations using data mining especially partnering with social networking sites to improve there product offering. Yes, social data is now a valuable commodity. Facebook, Twitter and other online forums, provides a rich source of user sentiment, which is of immense value. Today companies are building tools which would help [...]]]></description>
			<content:encoded><![CDATA[<p>Recently, we did read about large corporations using data mining especially partnering with social networking sites to improve there product offering. Yes, social data is now a valuable commodity. Facebook, Twitter and other online forums, provides a rich source of user sentiment, which is of immense value. Today companies are building tools which would help make sense of the data. Once such tool in focus is SAS Social Media Analytics by SAS Institute.</p>
<p>SAS Institute, the leader in advanced business intelligence and data analytics software, thinks it can do better. It is introducing a software service on Monday called SAS Social Media Analytics that analysts say seems to represent a step ahead in social media analysis tools.</p>
<p>[Read more <a href="http://bits.blogs.nytimes.com/2010/04/12/sas-seeks-to-improve-data-mining-of-social-media/?src=busln" target="_blank">New York Times</a>]</p>
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		<title>Can academia projects help businesses? UoA professor says yes!</title>
		<link>http://dataminingtools.net/blog/2010/03/29/can-academia-projects-help-businesses-uoa-professor-says-yes/</link>
		<comments>http://dataminingtools.net/blog/2010/03/29/can-academia-projects-help-businesses-uoa-professor-says-yes/#comments</comments>
		<pubDate>Tue, 30 Mar 2010 02:14:44 +0000</pubDate>
		<dc:creator>Vikramaditya Jakkula</dc:creator>
				<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Data Mining]]></category>
		<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://dataminingtools.net/blog/?p=520</guid>
		<description><![CDATA[Text mining tools can summarize and look for patterns within large electronic documents. Such tools are still expensive and difficult to use on large scale. But a group of researchers, including one&#8217;s at the University of Alberta, are hoping to change that.
A University of Alberta professor is helping to create text analysis tools to deeply examine [...]]]></description>
			<content:encoded><![CDATA[<p>Text mining tools can summarize and look for patterns within large electronic documents. Such tools are still expensive and difficult to use on large scale. But a group of researchers, including one&#8217;s at the University of Alberta, are hoping to change that.</p>
<p>A University of Alberta professor is helping to create text analysis tools to deeply examine historical trial accounts from the U.K.’s famous Old Bailey criminal court. While the research project is important to academia, the Edmonton-based researcher said that improving the quality of text mining tools could have benefits for businesses as well.</p>
<p>While academia are developing tools like TAPoR, a textual analysis tool that can summarize a body of text, find collocates, identify important dates, and discover the co-occurrences of two target words, the same could be applied to business records as well. Some of the tools in TAPoR use forms of visualization to help researchers grasp the data even clearer.</p>
<p>[<a href="http://www.itworldcanada.com/news/u-of-a-text-mining-project-could-help-businesses/140293" target="_blank">IT Canada</a>]</p>
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		<title>AlSight  Behavioral Analytics software wins the Security Industry Association’s New Product Showcase (NPS) Award</title>
		<link>http://dataminingtools.net/blog/2010/03/28/alsight-behavioral-analytics-software-wins-the-security-industry-association%e2%80%99s-new-product-showcase-nps-award/</link>
		<comments>http://dataminingtools.net/blog/2010/03/28/alsight-behavioral-analytics-software-wins-the-security-industry-association%e2%80%99s-new-product-showcase-nps-award/#comments</comments>
		<pubDate>Mon, 29 Mar 2010 03:51:12 +0000</pubDate>
		<dc:creator>Vikramaditya Jakkula</dc:creator>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Data Mining]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[Technology]]></category>

		<guid isPermaLink="false">http://dataminingtools.net/blog/?p=518</guid>
		<description><![CDATA[Behavioral Recognition Systems, Inc. (BRS Labs) has announced that its AlSight  Behavioral Analytics software has won the Security Industry Association’s New Product Showcase (NPS) Award in Video Analytics at ISC West.  It is the first to use Artificial Neural Network (ANN) technology for the accurate recognition and classification of objects and behavior.
AISight Features:

Takes input [...]]]></description>
			<content:encoded><![CDATA[<p>Behavioral Recognition Systems, Inc. (BRS Labs) has announced that its AlSight  Behavioral Analytics software has won the Security Industry Association’s New Product Showcase (NPS) Award in Video Analytics at ISC West.  It is the first to use Artificial Neural Network (ANN) technology for the accurate recognition and classification of objects and behavior.</p>
<p>AISight Features:</p>
<ul>
<li>Takes input from current and legacy cameras, recorded video or data files</li>
<li>Recognizes, remembers and tracks objects frame by frame</li>
<li>Rapidly learns what is acceptable behavior for any situation</li>
<li>Identifies and predicts abnormal, suspicious and aggressive behavior</li>
<li>Provides a wide range of alert systems to a human operator</li>
<li>Requires no additional operator training</li>
<li>Requires no changes to the existing infrastructure</li>
</ul>
<p>About BRS Labs:</p>
<p>BRS Labs is a software development company that has created the industry’s first behavioral analysis system for video surveillance that adaptively learns behavior patterns in complex environments. BRS Labs is the only company that has been able to apply computer-vision and machine-learning capabilities to video analytics, thereby greatly enhancing operator awareness and effectiveness in improving security. No human is required to define parameters for the software to recognize behavior or objects; the software reports unusual or suspicious behaviors based on memories it has acquired through observations over time. BRS Labs was founded in November 2005 and is headquartered in Houston, Texas. The company is funded by $50 million in private equity.</p>
<p>[<a href="http://www.brslabs.com/solutions.php" target="_blank">BRS Labs</a>]</p>
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		<title>Annual survey shows the importance &amp; high spirits towards data mining</title>
		<link>http://dataminingtools.net/blog/2010/03/28/annual-survey-shows-the-importance-high-spirits-towards-data-mining/</link>
		<comments>http://dataminingtools.net/blog/2010/03/28/annual-survey-shows-the-importance-high-spirits-towards-data-mining/#comments</comments>
		<pubDate>Sun, 28 Mar 2010 11:19:16 +0000</pubDate>
		<dc:creator>vinayak</dc:creator>
				<category><![CDATA[Data Mining]]></category>
		<category><![CDATA[Events]]></category>
		<category><![CDATA[news]]></category>

		<guid isPermaLink="false">http://dataminingtools.net/blog/?p=499</guid>
		<description><![CDATA[As a service to  the data mining community, RexerAnalytics conducts an annual online survey (started in 2009). It analyzes some factors like experiences, priorities, views and  challenges being faced by data mining industry. The Third Annual Data Miner Survey results were announced after studying the reports of 710 respondents from the data mining [...]]]></description>
			<content:encoded><![CDATA[<p>As a service to  the data mining community,<a href="http://www.rexeranalytics.com/" target="_blank"> RexerAnalytics</a> conducts an annual online survey (started in 2009). It analyzes some factors like experiences, priorities, views and  challenges being faced by data mining industry. The Third Annual Data Miner Survey results were announced after studying the reports of 710 respondents from the data mining community. It was concluded that data miners and their organization&#8217;s are highly confident and happy with their services and analytic capabilities giving a feedback of  &#8220;above average&#8221; or &#8220;excellent&#8221; performances. Most of them even assured that economy conditions will never be a set back or a weak point for them. According to the survey result, the most commonly used and most  satisfying primary data mining tools this year are IBM SPSS Modeler  (SPSS Clementine), Statistica, and IBM SPSS Statistics  (SPSS  Statistics). Open source tool Weka is increasingly used by both academic  and for-profit data miners. SAS Enterprise Miner dropped in data  miner’s tool  rankings this year.</p>
<p>Some highlights:</p>
<ul>
<li>40-item survey of data miners, conducted on-line in early 2009.</li>
</ul>
<ul>
<li>710 participants from 58 countries.</li>
</ul>
<ul>
<li>Data miners’ most commonly used algorithms are regression, decision trees,<br />
and cluster analysis.</li>
</ul>
<ul>
<li>Half of data miners say their results are helping to drive strategic<br />
decisions and operational processes.</li>
</ul>
<ul>
<li>58% say they are adding to the knowledge base in the field.</li>
</ul>
<ul>
<li>60% of respondents say the results of their modeling are deployed<br />
always or most of the time.</li>
</ul>
<ul>
<li>Most data miners feel that the economy will not negatively impact them.</li>
</ul>
<ul>
<li>Almost half of industry data miners rate the analytic capabilities of their<br />
company as above average or excellent.  But 19% feel their company has<br />
minimal or no analytic capabilities.</li>
</ul>
<ul>
<li>The top challenges facing data miners are dirty data, explaining data mining<br />
to others, and difficult access to data.  However, in 2009 fewer data miners<br />
listed data quality and data access as challenges than in the previous year.</li>
</ul>
<ul>
<li>IBM SPSS Modeler (SPSS Clementine), Statistica, and IBM SPSS Statistics<br />
(SPSS Statistics) are identified as the “primary tools” used by the most data<br />
miners.</li>
</ul>
<ul>
<li>Open-source tools Weka and R made substantial movement up data<br />
miner’s tool rankings this year, and are now used by large numbers of<br />
both academic and for-profit data miners.</li>
</ul>
<ul>
<li>SAS Enterprise Miner dropped in data miner’s tool rankings this year.</li>
</ul>
<ul>
<li>Users of IBM SPSS Modeler, Statistica, and Rapid Miner are the most<br />
satisfied with their software.</li>
</ul>
<ul>
<li>Fields &amp; Industries:  Data mining is everywhere.  The most sited areas are<br />
CRM / Marketing, Academic, Financial Services, &amp; IT / Telecom.  And in the<br />
for-profit sector, the departments data miners most frequently work in are<br />
Marketing &amp; Sales and Research &amp; Development.</li>
</ul>
<p>[<a href="http://www.rexeranalytics.com/Data-Miner-Survey-Results-2009.html" target="_blank">RexterAnalytics</a>]</p>
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