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<title>Data Mining - Business Exchange</title>
<subtitle>Most Active Articles</subtitle>
<link href="http://bx.businessweek.com/data-mining/most-active/feed" rel="self"/>
<link href="http://bx.businessweek.com/data-mining"/>
<updated>2009-11-24T12:39:42.147-05:00</updated>
<author>
<name>Business Exchange</name>
<email>Business_Exchange@businessweek.com</email>
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<id>urn:com:businessweek:bx:topic:most-active:data-mining</id>
<bx:suggester>
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<entry>
<title>Design Values: Quality of Data over Ease of Data Collection</title>
<link href="/data-mining/design-values-quality-of-data-over-ease-of-data-collection/4520779215877076041-9faa618d3edbb037c5ecfdbd2129f635/"/>
<id>urn:com:businessweek:bx:article:4520779215877076041-9faa618d3edbb037c5ecfdbd2129f635</id>
<updated>2009-11-22T20:28:39.951-05:00</updated>
<summary>This is a follow-up article to John Schrag’s post on &quot;Design Values&quot;. The original post described the values we believe contribute to a healthy software design practice. This post looks deeper into why we value Quality of Data over Ease of Data Collection.</summary>
<content type="html">This is a follow-up article to John Schrag’s post on &quot;Design Values&quot;. The original post described the values we believe contribute to a healthy software design practice. This post looks deeper into why we value Quality of Data over Ease of Data Collection.</content>
<source>
<title>Designing the User Experience at Autodesk</title>
</source>
<bx:external-link>http://dux.typepad.com/dux/2009/11/design-values-quality-of-data-over-ease-of-data-collection.html</bx:external-link>
<bx:adder>
<bx:fullname>Itamar Medeiros</bx:fullname>
<bx:id>imedeiros325</bx:id>
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<entry>
<title>k means algorithm source code in java</title>
<link href="/data-mining/k-means-algorithm-source-code-in-java/4132530478103457608-c46cf0db325eac8669f685405d0c5fd7/"/>
<id>urn:com:businessweek:bx:article:4132530478103457608-c46cf0db325eac8669f685405d0c5fd7</id>
<updated>2009-01-18T23:45:00.000-05:00</updated>
<summary>Hi I am Thijo, very new to this forum. I need source code for k means clustering algorithm in JAVA.</summary>
<content type="html">Hi I am Thijo, very new to this forum. I need source code for k means clustering algorithm in JAVA.</content>
<source>
<title>Data Mining Source Code</title>
</source>
<bx:external-link>http://www.kdkeys.net/forums/thread/8588.aspx</bx:external-link>
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<entry>
<title>The tech behind 236 eHarmony members getting hitched daily</title>
<link href="/data-mining/the-tech-behind-236-eharmony-members-getting-hitched-daily/2557030157324403569-5b68b8dc27ec1eeaebfa4014d31972f1/"/>
<id>urn:com:businessweek:bx:article:2557030157324403569-5b68b8dc27ec1eeaebfa4014d31972f1</id>
<updated>2009-09-16T21:24:53.728-04:00</updated>
<summary>While eHarmony Inc.&#39;s goal is to get its 20 million members married or into long-term relationships, the online matchmaker is a downright commitment-phobe in its use of technology.</summary>
<content type="html">While eHarmony Inc.&#39;s goal is to get its 20 million members married or into long-term relationships, the online matchmaker is a downright commitment-phobe in its use of technology.</content>
<source>
<title>computerworld.com</title>
</source>
<bx:external-link>http://www.computerworld.com/s/article/9138150/The_tech_behind_236_eHarmony_members_getting_hitched_daily_</bx:external-link>
<bx:adder>
<bx:fullname>Isaac Sacolick</bx:fullname>
<bx:id>isacolick111</bx:id>
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<entry>
<title>Teaching Students to Sift Mountains of Data</title>
<link href="/data-mining/teaching-students-to-sift-mountains-of-data/8950557908319317600-ef0568408458c29df5a37c989c937466/"/>
<id>urn:com:businessweek:bx:article:8950557908319317600-ef0568408458c29df5a37c989c937466</id>
<updated>2009-10-12T07:26:59.824-04:00</updated>
<summary>MOUNTAIN VIEW, Calif. — It is a rare criticism of elite American university students that they do not think big enough. But that is exactly the complaint from some of the largest technology companies and the federal government. At the heart of this criticism is data. Researchers and workers in fields as diverse as bio-technology, astronomy and computer science will soon find themselves overwhelmed with information. Better telescopes and genome sequencers are as much to blame for this data glut as are faster computers and bigger hard drives.</summary>
<content type="html">MOUNTAIN VIEW, Calif. — It is a rare criticism of elite American university students that they do not think big enough. But that is exactly the complaint from some of the largest technology companies and the federal government. At the heart of this criticism is data. Researchers and workers in fields as diverse as bio-technology, astronomy and computer science will soon find themselves overwhelmed with information. Better telescopes and genome sequencers are as much to blame for this data glut as are faster computers and bigger hard drives.</content>
<source>
<title>New York Times</title>
</source>
<bx:external-link>http://www.nytimes.com/2009/10/12/technology/12data.html?_r=1&amp;th&amp;emc=th</bx:external-link>
<bx:adder>
<bx:fullname>Courtney Hurley</bx:fullname>
<bx:id>churley331</bx:id>
<bx:link href="http://bx.businessweek.com/profile/courtney-hurley/churley331/"/>
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<entry>
<title>Prediction: Predictive Analytics will Proliferate Marketing</title>
<link href="/data-mining/prediction-predictive-analytics-will-proliferate-marketing/16067725957494527781-0a686285b7d96c410a3c0999a17d6700/"/>
<id>urn:com:businessweek:bx:article:16067725957494527781-0a686285b7d96c410a3c0999a17d6700</id>
<updated>2009-05-22T07:01:08.269-04:00</updated>
<summary>“Quantiphobes” be forewarned. Marketing metrics are about to move to the forefront. The predictive power of advanced statistical analyses used to calculate risk in the credit and insurance industries for years are quickly becoming an integral part of marketers’ jobs.
According to an Association of National Advertisers survey conducted in partnership with Interbrand, 80 percent of CMOs and senior marketers say the board and C-suite are increasingly demanding that marketers be more accountable. And marketers should welcome the change. </summary>
<content type="html">“Quantiphobes” be forewarned. Marketing metrics are about to move to the forefront. The predictive power of advanced statistical analyses used to calculate risk in the credit and insurance industries for years are quickly becoming an integral part of marketers’ jobs.
According to an Association of National Advertisers survey conducted in partnership with Interbrand, 80 percent of CMOs and senior marketers say the board and C-suite are increasingly demanding that marketers be more accountable. And marketers should welcome the change. </content>
<source>
<title>unboundedition.com</title>
</source>
<bx:external-link>http://www.unboundedition.com/pdp_thinking/2009/may/21/prediction-predictive-analytics-will-proliferate-m/</bx:external-link>
<bx:adder>
<bx:fullname>Patrick Davis Partners</bx:fullname>
<bx:id>jdebruijn841</bx:id>
<bx:link href="http://bx.businessweek.com/profile/patrickdavis-partners/jdebruijn841/"/>
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<entry>
<title>The Web Knows What You Want</title>
<link href="/data-mining/the-web-knows-what-you-want/9618425963790374065-188a8c855a8e8e039e75149700714913/"/>
<id>urn:com:businessweek:bx:article:9618425963790374065-188a8c855a8e8e039e75149700714913</id>
<updated>2009-07-19T22:53:45.558-04:00</updated>
<summary>A very compelling article written by BW reporter Baker on how marketing firms are analyzing past customer purchasing behavior and then determining interests and tendencies, and thus predicting future purchasing behavior -- all in the pursuit of selling more product/service.</summary>
<content type="html">A very compelling article written by BW reporter Baker on how marketing firms are analyzing past customer purchasing behavior and then determining interests and tendencies, and thus predicting future purchasing behavior -- all in the pursuit of selling more product/service.</content>
<source>
<title>BusinessWeek</title>
</source>
<bx:external-link>http://www.businessweek.com/magazine/content/09_30/b4140048486880.htm</bx:external-link>
<bx:adder>
<bx:fullname>Thomas Huynh</bx:fullname>
<bx:id>thuynh381</bx:id>
<bx:link href="http://bx.businessweek.com/profile/thomas-huynh/thuynh381/"/>
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</entry>
<entry>
<title>The Formula That Killed Wall Street</title>
<link href="/data-mining/the-formula-that-killed-wall-street/18030540139875573723-d4a2d82b01ff9cac272cb5e038478b8e/"/>
<id>urn:com:businessweek:bx:article:18030540139875573723-d4a2d82b01ff9cac272cb5e038478b8e</id>
<updated>2009-03-25T05:53:12.585-04:00</updated>
<summary>For five years, David X. Li&#39;s formula, known as a Gaussian copula function, looked like an unambiguously positive breakthrough, a piece of financial technology that allowed hugely complex risks to be modeled with more ease and accuracy than ever before. Li made it possible for traders to sell vast quantities of new securities, expanding financial markets to unimaginable levels.</summary>
<content type="html">For five years, David X. Li&#39;s formula, known as a Gaussian copula function, looked like an unambiguously positive breakthrough, a piece of financial technology that allowed hugely complex risks to be modeled with more ease and accuracy than ever before. Li made it possible for traders to sell vast quantities of new securities, expanding financial markets to unimaginable levels.</content>
<source>
<title>wired.com</title>
</source>
<bx:external-link>http://www.wired.com/techbiz/it/magazine/17-03/wp_quant?currentPage=all</bx:external-link>
<bx:adder>
<bx:fullname>Roger Neal</bx:fullname>
<bx:id>rneal074</bx:id>
<bx:link href="http://bx.businessweek.com/profile/roger-neal/rneal074/"/>
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<bx:action>
<bx:total>24</bx:total>
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</entry>
<entry>
<title>Mapping a New, Mobile Internet</title>
<link href="/data-mining/mapping-a-new-mobile-internet/1755486686601731530-9a761002cb3fe7dbb73ae545e3aafbcc/"/>
<id>urn:com:businessweek:bx:article:1755486686601731530-9a761002cb3fe7dbb73ae545e3aafbcc</id>
<updated>2009-03-04T16:05:30.012-05:00</updated>
<summary>Imagine that your business had a complete log of your customers&#39; wanderings—every trip to the grocery store, every work commute, every walk with the dog. What could you learn about them? ... A big BusinessWeek story about the mobile Web</summary>
<content type="html">Imagine that your business had a complete log of your customers&#39; wanderings—every trip to the grocery store, every work commute, every walk with the dog. What could you learn about them? ... A big BusinessWeek story about the mobile Web</content>
<source>
<title>BusinessWeek</title>
</source>
<bx:external-link>http://www.businessweek.com/magazine/content/09_10/b4122042889229.htm?chan=magazine+channel_the+future+of+tech</bx:external-link>
<bx:adder>
<bx:fullname>Stephen Baker</bx:fullname>
<bx:id>sbaker551</bx:id>
<bx:link href="http://bx.businessweek.com/profile/stephen-baker/sbaker551/"/>
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</entry>
<entry>
<title>Ten Worst Practices of the Unsuccessful Data Warehouse Project Manager</title>
<link href="/data-mining/ten-worst-practices-of-the-unsuccessful-data-warehouse-project-manager/16019854031784840635-a5b9f057cb6e463cf3c4b711c0e30d33/"/>
<id>urn:com:businessweek:bx:article:16019854031784840635-a5b9f057cb6e463cf3c4b711c0e30d33</id>
<updated>2009-09-22T13:09:13.211-04:00</updated>
<summary>A data warehouse project manager’s job is beset with worst practice traps just waiting for the unwary project manager to fail. You don’t have to fall prey to these traps. Take a look at these ten worst practices to recognize and avoid these methods...</summary>
<content type="html">A data warehouse project manager’s job is beset with worst practice traps just waiting for the unwary project manager to fail. You don’t have to fall prey to these traps. Take a look at these ten worst practices to recognize and avoid these methods...</content>
<source>
<title>itbusinessedge.com</title>
</source>
<bx:external-link>http://www.itbusinessedge.com/cm/docs/DOC-1622</bx:external-link>
<bx:adder>
<bx:fullname>Patrick Avery</bx:fullname>
<bx:id>pavery324</bx:id>
<bx:link href="http://bx.businessweek.com/profile/patrick-avery/pavery324/"/>
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<bx:action>
<bx:total>1</bx:total>
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<entry>
<title>Biotech companies testify on data mining</title>
<link href="/data-mining/biotech-companies-testify-on-data-mining/12718152402263555033-0fcc3c236cdb417e243ad3d9a0621586/"/>
<id>urn:com:businessweek:bx:article:12718152402263555033-0fcc3c236cdb417e243ad3d9a0621586</id>
<updated>2009-03-30T02:14:52.811-04:00</updated>
<summary>Posted Mar 27, 2009 @ 12:19 AM Last update Mar 27, 2009 @ 05:06 PM BOSTON — Drug makers and health insurance officials challenged a proposed law that would limit information about which medicines are the most popular in Massachusetts, saying that a...</summary>
<content type="html">Posted Mar 27, 2009 @ 12:19 AM Last update Mar 27, 2009 @ 05:06 PM BOSTON — Drug makers and health insurance officials challenged a proposed law that would limit information about which medicines are the most popular in Massachusetts, saying that a...</content>
<source>
<title>milforddailynews.com</title>
</source>
<bx:external-link>http://www.milforddailynews.com/news/x148103593/Biotech-companies-testify-on-data-mining</bx:external-link>
<bx:adder>
<bx:fullname>Venkat Viswanathan (LatentView)</bx:fullname>
<bx:id>vviswanathan430</bx:id>
<bx:link href="http://bx.businessweek.com/profile/venkat-viswanathanlatentview/vviswanathan430/"/>
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<entry>
<title>Financial crisis effect on data mining demand</title>
<link href="/data-mining/financial-crisis-effect-on-data-mining-demand/13039360515647118205-c318e2e86fab7f05d022229da8c91fb6/"/>
<id>urn:com:businessweek:bx:article:13039360515647118205-c318e2e86fab7f05d022229da8c91fb6</id>
<updated>2009-03-30T09:54:09.643-04:00</updated>
<summary>Less work reported for US data miners, more for Europeans - KDnuggets Poll</summary>
<content type="html">Less work reported for US data miners, more for Europeans - KDnuggets Poll</content>
<source>
<title>kdnuggets.com</title>
</source>
<bx:external-link>http://www.kdnuggets.com/polls/2009/financial-crisis-effect-on-data-mining.htm</bx:external-link>
<bx:adder>
<bx:fullname>Gregory Piatetsky-Shapiro</bx:fullname>
<bx:id>gpiatetskyshapiro920</bx:id>
<bx:link href="http://bx.businessweek.com/profile/gregory-piatetskyshapiro/gpiatetskyshapiro920/"/>
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<entry>
<title>Google Showing Re-Tweets in SERP?</title>
<link href="/data-mining/google-showing-re-tweets-in-serp/13036539558700296315-b17ee8adc35243773f794955723d1ea4/"/>
<id>urn:com:businessweek:bx:article:13036539558700296315-b17ee8adc35243773f794955723d1ea4</id>
<updated>2009-09-08T23:29:00.000-04:00</updated>
<summary>I just did a search for Matthew Hurst and found an interesting string in the top link snippet: It looks like Google is showing re-tweets in the SERP.</summary>
<content type="html">I just did a search for Matthew Hurst and found an interesting string in the top link snippet: It looks like Google is showing re-tweets in the SERP.</content>
<source>
<title>Data Mining: Text Mining, Visualization and Social Media</title>
</source>
<bx:external-link>http://feedproxy.google.com/~r/DataMining/~3/EjzAh1Aymr4/google-showing-re-tweets-in-serp.html</bx:external-link>
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<entry>
<title>Google&#39;s algorithms for human resources</title>
<link href="/data-mining/googles-algorithms-for-human-resources/9489912318418188851-23900c4e9c7283ffc60396a525ffb517/"/>
<id>urn:com:businessweek:bx:article:9489912318418188851-23900c4e9c7283ffc60396a525ffb517</id>
<updated>2009-05-19T12:45:00.000-04:00</updated>
<summary>The Wall Street Journal reports that Google is using algorithms to identify employees most likely to leave. (I wrote a related article in March.) I was interested in the comments, like this one from Ana Wood: It seems that more and more companies are investing in external systems to predict or better manage human capital. Through the years, I have practiced a simple action ...ndash; connecting with people at every level of the organization through a ...ldquo;hello, how do you do?...rdquo; and waiting for the person receiving this message to answer. I don&#39;t know about you, but if I&#39;m unhappy and thinking about leaving, I probably don&#39;t spill it to a manager who comes by and asks me, ...quot;How do you do?...quot; But the problem with Ana&#39;s objection, I think, is the assumption that a company relies entirely on either data mining or personal interactions. Seems to me that if Google&#39;s algorithm can identify 100 employees most likely to leave, then it might be time for a manager to approach them and engage in some old-fashioned talk.</summary>
<content type="html">The Wall Street Journal reports that Google is using algorithms to identify employees most likely to leave. (I wrote a related article in March.) I was interested in the comments, like this one from Ana Wood: It seems that more and more companies are investing in external systems to predict or better manage human capital. Through the years, I have practiced a simple action ...ndash; connecting with people at every level of the organization through a ...ldquo;hello, how do you do?...rdquo; and waiting for the person receiving this message to answer. I don&#39;t know about you, but if I&#39;m unhappy and thinking about leaving, I probably don&#39;t spill it to a manager who comes by and asks me, ...quot;How do you do?...quot; But the problem with Ana&#39;s objection, I think, is the assumption that a company relies entirely on either data mining or personal interactions. Seems to me that if Google&#39;s algorithm can identify 100 employees most likely to leave, then it might be time for a manager to approach them and engage in some old-fashioned talk.</content>
<source>
<title>Stephen Baker - The Numerati</title>
</source>
<bx:external-link>http://thenumerati.net/index.cfm?postID=320</bx:external-link>
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<entry>
<title>Data Mining Moves to Human Resources</title>
<link href="/data-mining/data-mining-moves-to-human-resources/15309903595628216003-fbc471840c5f4d73d75ab1f4ce795d92/"/>
<id>urn:com:businessweek:bx:article:15309903595628216003-fbc471840c5f4d73d75ab1f4ce795d92</id>
<updated>2009-03-30T01:54:09.383-04:00</updated>
<summary>The chart looks like colorful pop-art doughnuts flying through space. The message, though, is anything but playful. Based on a mathematical analysis of work at an undisclosed Internet company, each circle represents an employee. Those who generate...</summary>
<content type="html">The chart looks like colorful pop-art doughnuts flying through space. The message, though, is anything but playful. Based on a mathematical analysis of work at an undisclosed Internet company, each circle represents an employee. Those who generate...</content>
<source>
<title>BusinessWeek</title>
</source>
<bx:external-link>http://www.businessweek.com/magazine/content/09_12/b4124046224092.htm?chan=top+news_top+news+index+-+temp_top+story</bx:external-link>
<bx:adder>
<bx:fullname>Venkat Viswanathan (LatentView)</bx:fullname>
<bx:id>vviswanathan430</bx:id>
<bx:link href="http://bx.businessweek.com/profile/venkat-viswanathanlatentview/vviswanathan430/"/>
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<entry>
<title>Data Mining in the Meltdown: the Last, Best Hope? -</title>
<link href="/data-mining/data-mining-in-the-meltdown-the-last-best-hope--/8534324078291080068-2bb7b383f6962ed8b071becc5b73b718/"/>
<id>urn:com:businessweek:bx:article:8534324078291080068-2bb7b383f6962ed8b071becc5b73b718</id>
<updated>2009-02-17T00:43:39.559-05:00</updated>
<summary>Demand for performance data is skyrocketing within organizations. Arthur Kordon, leader in the data mining and modeling group at the Dow Chemical Co., says his team has never been so inundated with requests as it has been during the economic crisis.</summary>
<content type="html">Demand for performance data is skyrocketing within organizations. Arthur Kordon, leader in the data mining and modeling group at the Dow Chemical Co., says his team has never been so inundated with requests as it has been during the economic crisis.</content>
<source>
<title>cfo.com</title>
</source>
<bx:external-link>http://www.cfo.com/article.cfm/13129558/c_13104126?f=home_todayinfinance</bx:external-link>
<bx:adder>
<bx:fullname>Venkat Viswanathan (LatentView)</bx:fullname>
<bx:id>vviswanathan430</bx:id>
<bx:link href="http://bx.businessweek.com/profile/venkat-viswanathanlatentview/vviswanathan430/"/>
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<entry>
<title>UN expert: data mining a threat to human rights</title>
<link href="/data-mining/un-expert-data-mining-a-threat-to-human-rights/8978922416592231364-c14c17b9266b340403b434ce187f1001/"/>
<id>urn:com:businessweek:bx:article:8978922416592231364-c14c17b9266b340403b434ce187f1001</id>
<updated>2009-03-01T22:37:40.556-05:00</updated>
<summary>Unfettered collection of personal data by intelligence agencies is a threat to basic human rights, a U.N. expert has warned. In an advance copy of a report to the U.N. Human Rights Council, Martin Scheinin said so-called &#39;data mining&#39; blurs the...</summary>
<content type="html">Unfettered collection of personal data by intelligence agencies is a threat to basic human rights, a U.N. expert has warned. In an advance copy of a report to the U.N. Human Rights Council, Martin Scheinin said so-called &#39;data mining&#39; blurs the...</content>
<source>
<title>International Herald Tribune</title>
</source>
<bx:external-link>http://www.iht.com/articles/ap/2009/02/28/news/UN-UN-Rights-Data-Mining.php</bx:external-link>
<bx:adder>
<bx:fullname>Venkat Viswanathan (LatentView)</bx:fullname>
<bx:id>vviswanathan430</bx:id>
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<entry>
<title>Can Social Network Data Mining Help Us Nab Terrorists?</title>
<link href="/data-mining/can-social-network-data-mining-help-us-nab-terrorists/6027684450928534792-f9fba80b08d7932c36614f4c0a9150ea/"/>
<id>urn:com:businessweek:bx:article:6027684450928534792-f9fba80b08d7932c36614f4c0a9150ea</id>
<updated>2009-08-18T20:17:00.000-04:00</updated>
<summary>...out that the DOD is funding research into this kind of data mining combined with...</summary>
<content type="html">...out that the DOD is funding research into this kind of data mining combined with...</content>
<source>
<title>The Jawa Report</title>
</source>
<bx:external-link>http://mypetjawa.mu.nu/archives/198508.php</bx:external-link>
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</entry>
<entry>
<title>Credit card use is ripe for data mining</title>
<link href="/data-mining/credit-card-use-is-ripe-for-data-mining/10690437739524721251-947a88e9a0681b61334da17c8f341e09/"/>
<id>urn:com:businessweek:bx:article:10690437739524721251-947a88e9a0681b61334da17c8f341e09</id>
<updated>2009-07-06T06:50:57.240-04:00</updated>
<summary>Credit card use is ripe for data mining These days, credit card companies are taking plastic away from a lot of consumers. To figure out whose credit to cut, companies look at where you live, where you shop, and what you buy. Stacey Vanek-Smith...</summary>
<content type="html">Credit card use is ripe for data mining These days, credit card companies are taking plastic away from a lot of consumers. To figure out whose credit to cut, companies look at where you live, where you shop, and what you buy. Stacey Vanek-Smith...</content>
<source>
<title>marketplace.publicradio.org</title>
</source>
<bx:external-link>http://marketplace.publicradio.org/display/web/2009/07/01/am_redlining/</bx:external-link>
<bx:adder>
<bx:fullname>Venkat Viswanathan (LatentView)</bx:fullname>
<bx:id>vviswanathan430</bx:id>
<bx:link href="http://bx.businessweek.com/profile/venkat-viswanathanlatentview/vviswanathan430/"/>
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</entry>
<entry>
<title>When Everyone Can Mine Your Data</title>
<link href="/data-mining/when-everyone-can-mine-your-data/4631785692317500216-543c38686ff10592f86b62d1dd2afc19/"/>
<id>urn:com:businessweek:bx:article:4631785692317500216-543c38686ff10592f86b62d1dd2afc19</id>
<updated>2008-11-22T04:38:33.456-05:00</updated>
<summary>Everyone Can Mine Your Taylor Buley, 11.21.08, 06:00 PM EST Maltego&#39;s open-source software brings data mining to the masses. Roelof Temmingh has a knack for stirring up trouble. The 35-year-old South African electronic engineer has fought legal battles</summary>
<content type="html">Everyone Can Mine Your Taylor Buley, 11.21.08, 06:00 PM EST Maltego&#39;s open-source software brings data mining to the masses. Roelof Temmingh has a knack for stirring up trouble. The 35-year-old South African electronic engineer has fought legal battles</content>
<source>
<title>Forbes.com</title>
</source>
<bx:external-link>http://c.moreover.com/click/here.pl?r1702436586&amp;f=9791</bx:external-link>
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</entry>
<entry>
<title>Maltego and the science of &quot;open-source&quot; snooping</title>
<link href="/data-mining/maltego-and-the-science-of-open-source-snooping/6565256717337020115-b2e11bb26302d8f2fd436712406de99c/"/>
<id>urn:com:businessweek:bx:article:6565256717337020115-b2e11bb26302d8f2fd436712406de99c</id>
<updated>2008-11-25T01:41:00.000-05:00</updated>
<summary>Data mining used to be an expensive, somewhat esoteric affair. But , a new &#39;open-source intelligence&#39; tool, new technology &#39;lets just about anybody do the kind of data mining that in the</summary>
<content type="html">Data mining used to be an expensive, somewhat esoteric affair. But , a new &#39;open-source intelligence&#39; tool, new technology &#39;lets just about anybody do the kind of data mining that in the</content>
<source>
<title>CNET News.com</title>
</source>
<bx:external-link>http://c.moreover.com/click/here.pl?r1706835250&amp;f=9791</bx:external-link>
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<bx:fullname></bx:fullname>
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</entry>
<entry>
<title>Battle for Mindshare - Analytics vs. Data Mining</title>
<link href="/data-mining/battle-for-mindshare---analytics-vs-data-mining/807218565240294392-77dc7b023185bee68b4a686d2971aeb6/"/>
<id>urn:com:businessweek:bx:article:807218565240294392-77dc7b023185bee68b4a686d2971aeb6</id>
<updated>2009-01-30T09:22:33.240-05:00</updated>
<summary>The term &quot;analytics&quot; has exploded in popularity after the introduction of &quot;Google Analytics&quot; in Dec 2005. It surpassed &quot;data mining&quot; in popularity, and has continued to climb since.</summary>
<content type="html">The term &quot;analytics&quot; has exploded in popularity after the introduction of &quot;Google Analytics&quot; in Dec 2005. It surpassed &quot;data mining&quot; in popularity, and has continued to climb since.</content>
<source>
<title>kdnuggets.com</title>
</source>
<bx:external-link>http://www.kdnuggets.com/news/2009/n02/3i.html</bx:external-link>
<bx:adder>
<bx:fullname>Venkat Viswanathan (LatentView)</bx:fullname>
<bx:id>vviswanathan430</bx:id>
<bx:link href="http://bx.businessweek.com/profile/venkat-viswanathanlatentview/vviswanathan430/"/>
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<bx:action>
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</entry>
<entry>
<title>An economic lifeline: Text mining customer experience</title>
<link href="/data-mining/an-economic-lifeline-text-mining-customer-experience/13404745043825949784-c9e4e8a1880fe09fde31817e87a425ae/"/>
<id>urn:com:businessweek:bx:article:13404745043825949784-c9e4e8a1880fe09fde31817e87a425ae</id>
<updated>2009-03-30T01:59:30.522-04:00</updated>
<summary>The gap between what customers expect and what consumers experience with a firm is often expressed in the text fields of feedback mechanisms - which is where text mining can tap into this valuable insight. By Tony Lopresti, Clarabridge A company&#39;s...</summary>
<content type="html">The gap between what customers expect and what consumers experience with a firm is often expressed in the text fields of feedback mechanisms - which is where text mining can tap into this valuable insight. By Tony Lopresti, Clarabridge A company&#39;s...</content>
<source>
<title>mycustomer.com</title>
</source>
<bx:external-link>http://www.mycustomer.com/cgi-bin/item.cgi?id=134245</bx:external-link>
<bx:adder>
<bx:fullname>Venkat Viswanathan (LatentView)</bx:fullname>
<bx:id>vviswanathan430</bx:id>
<bx:link href="http://bx.businessweek.com/profile/venkat-viswanathanlatentview/vviswanathan430/"/>
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<entry>
<title>Privacy vs protection: Police and the right to hack</title>
<link href="/data-mining/privacy-vs-protection-police-and-the-right-to-hack/3068288417209688661-04d666a0620393e1a0de0bd5569d9403/"/>
<id>urn:com:businessweek:bx:article:3068288417209688661-04d666a0620393e1a0de0bd5569d9403</id>
<updated>2009-03-17T01:11:00.000-04:00</updated>
<summary>seeks insight from IT industry News Plan to extend police-hacking powers gathers pace News US gov&#39;t report: Data mining is ineffective</summary>
<content type="html">seeks insight from IT industry News Plan to extend police-hacking powers gathers pace News US gov&#39;t report: Data mining is ineffective</content>
<source>
<title>ZDNet UK</title>
</source>
<bx:external-link>http://c.moreover.com/click/here.pl?r1873042862&amp;f=9791</bx:external-link>
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<bx:fullname></bx:fullname>
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<entry>
<title>Stephen Baker</title>
<link href="/data-mining/stephen-baker/3591142898546940779-3e1168577317d04b96ee488846c3a253/"/>
<id>urn:com:businessweek:bx:article:3591142898546940779-3e1168577317d04b96ee488846c3a253</id>
<updated>2009-02-06T12:55:56.728-05:00</updated>
<summary>I&#39;ve had a small but significant breakthrough on BusinessWeek&#39;s Business Exchange. That&#39;s the magazine&#39;s social site. It&#39;s engineered to entice the brains of the world (ie. us) to share their learnings, via links to posts, papers and articles, with...</summary>
<content type="html">I&#39;ve had a small but significant breakthrough on BusinessWeek&#39;s Business Exchange. That&#39;s the magazine&#39;s social site. It&#39;s engineered to entice the brains of the world (ie. us) to share their learnings, via links to posts, papers and articles, with...</content>
<source>
<title>thenumerati.net</title>
</source>
<bx:external-link>http://thenumerati.net/index.cfm?postID=254</bx:external-link>
<bx:adder>
<bx:fullname>Stephen Baker</bx:fullname>
<bx:id>sbaker551</bx:id>
<bx:link href="http://bx.businessweek.com/profile/stephen-baker/sbaker551/"/>
</bx:adder>
<bx:action>
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</entry>
<entry>
<title>Data Warehousing ETL Checklist</title>
<link href="/data-mining/data-warehousing-etl-checklist/10120604987914967847-5e7124bf126ce81309a55258f1831805/"/>
<id>urn:com:businessweek:bx:article:10120604987914967847-5e7124bf126ce81309a55258f1831805</id>
<updated>2009-07-22T11:17:18.153-04:00</updated>
<summary>ETL – Extract, Transform and Load – is the process by which data from multiple systems is consolidated, typically in a data warehouse, so that executives can obtain a comprehensive picture of business functions, e.g. the relationships between...</summary>
<content type="html">ETL – Extract, Transform and Load – is the process by which data from multiple systems is consolidated, typically in a data warehouse, so that executives can obtain a comprehensive picture of business functions, e.g. the relationships between...</content>
<source>
<title>itbusinessedge.com</title>
</source>
<bx:external-link>http://www.itbusinessedge.com/cm/docs/DOC-1530</bx:external-link>
<bx:adder>
<bx:fullname>Patrick Avery</bx:fullname>
<bx:id>pavery324</bx:id>
<bx:link href="http://bx.businessweek.com/profile/patrick-avery/pavery324/"/>
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