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    <dc:creator>amy</dc:creator><description><![CDATA[Fabulous piece by @josephreisinger about tradeoffs between data and algorithms in machine learning  via @ginablaber]]></description>
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	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:bioinformatics"/>
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</item>
<item rdf:about="https://github.com/ptwobrussell/Recipes-for-Mining-Twitter">
    <title>ptwobrussell/Recipes-for-Mining-Twitter - GitHub</title>
    <dc:date>2011-02-12T17:15:55+00:00</dc:date>
    <link>https://github.com/ptwobrussell/Recipes-for-Mining-Twitter</link>
    <dc:creator>amy</dc:creator><dc:subject>python twitter thinkup analytics datamining</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:d6faf82431c9/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:analytics"/>
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</item>
<item rdf:about="http://www.briansolis.com/2011/02/the-interest-graph-on-twitter-is-alive-studying-starbucks-top-followers/">
    <title>The Interest Graph on Twitter is Alive: Studying Starbucks Top Followers « Brian Solis Brian Solis</title>
    <dc:date>2011-02-10T20:05:06+00:00</dc:date>
    <link>http://www.briansolis.com/2011/02/the-interest-graph-on-twitter-is-alive-studying-starbucks-top-followers/</link>
    <dc:creator>amy</dc:creator><dc:subject>twitter analytics datamining</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:a9997cd74555/</dc:identifier>
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<item rdf:about="http://www.telehash.org/about.html">
    <title>About TeleHash</title>
    <dc:date>2011-02-05T15:51:58+00:00</dc:date>
    <link>http://www.telehash.org/about.html</link>
    <dc:creator>amy</dc:creator><description><![CDATA["TeleHash is a new wire protocol for exchanging JSON in a real-time and fully decentralized manner, enabling applications to connect directly and participate as servers on the edge of the network. It is designed to efficiently route and distribute small bits of data in order for applications to discover each other directly or in relation to events around piece of shared content. The core benefits of TeleHash over other similar platforms and protocols is that it is both generic (not tied to any specific application or content structures) and is radically decentralized with no servers or points of central control."]]></description>
<dc:subject>p2p datamining web_services json</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:64ff9c0a693c/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:web_services"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:json"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.readwriteweb.com/archives/creator_of_instant_messaging_protocol_to_launch_ap.php">
    <title>Creator of Instant Messaging Protocol to Launch App Platform for Your Life</title>
    <dc:date>2011-02-04T05:33:16+00:00</dc:date>
    <link>http://www.readwriteweb.com/archives/creator_of_instant_messaging_protocol_to_launch_ap.php</link>
    <dc:creator>amy</dc:creator><description><![CDATA[RT @jeremie Awesome! RT Creator of Instant Messaging Protocol to Launch App Platform for Your Life  via @marshallk
"Jeremie Miller is a revered figure among developers, best known for building XMPP, the open source protocol that powers most of the Instant Messaging apps in the world. Now Miller has raised funds and is building a team that will develop software aimed directly at the future of the web.

Called The Locker Project, the open source service will capture what's called exhaust data from users' activities around the web and offline via sensors, put it firmly in their own possesion and then allow them to run local apps that are built to leverage their data."]]></description>
<dc:subject>p2p social_media storage datamining</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:41fd35cf1324/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:social_media"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:storage"/>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/drewconway/strata_bootcamp">
    <title>drewconway/strata_bootcamp - GitHub</title>
    <dc:date>2011-02-01T23:32:55+00:00</dc:date>
    <link>https://github.com/drewconway/strata_bootcamp</link>
    <dc:creator>amy</dc:creator><description><![CDATA[All code, slides and notes in support of "Data Bootcamp" tutorial at O'Reilly's Strata Conference 2011.
]]></description>
<dc:subject>presentation reference datamining analytics big_data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:55de9ee3e3eb/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:big_data"/>
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<item rdf:about="http://bowtie-bio.sourceforge.net/crossbow/news.shtml">
    <title>Crossbow: Whole Genome Resequencing Analysis in the Clouds</title>
    <dc:date>2011-02-01T00:14:35+00:00</dc:date>
    <link>http://bowtie-bio.sourceforge.net/crossbow/news.shtml</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Genotyping from short reads using cloud computing
]]></description>
<dc:subject>hadoop genetics analysis analytics datamining</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:c20e0810db2e/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:analytics"/>
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<item rdf:about="http://aws.amazon.com/articles/Elastic-MapReduce/5249664154115844/186-4847242-7470716">
    <title>Finding trending topics using Google Books n-grams data and Apache Hive on Elastic MapReduce : Articles &amp; Tutorials : Amazon Web Services</title>
    <dc:date>2011-01-31T18:57:47+00:00</dc:date>
    <link>http://aws.amazon.com/articles/Elastic-MapReduce/5249664154115844/186-4847242-7470716</link>
    <dc:creator>amy</dc:creator><dc:subject>aws mapreduce hadoop reference tutorials datamining</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:9c98123dc33d/</dc:identifier>
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<item rdf:about="http://www.fastcompany.com/1721659/how-recommendations-could-get-smarter">
    <title>Beyond Amazon: How to Make Recommendations Smarter | Fast Company</title>
    <dc:date>2011-01-31T18:10:54+00:00</dc:date>
    <link>http://www.fastcompany.com/1721659/how-recommendations-could-get-smarter</link>
    <dc:creator>amy</dc:creator><description><![CDATA["…The people who are likely to produce breakthroughs--the really smart smarty-pants in the math departments of the world’s universities--don’t have access to large bodies of real-world data. And without real-world data, they can come up with as many hypotheses and new types of math as they like, but they’ll never really know if it actually works in the real world. It’s like trying to learn how to serve without tennis balls. You can swing as much as you like, but until you actually hit a real-live ball, you can never be sure if your swing would actually place a ball in the serve box.

For their part, the people who have real-world data--the Amazons and eBays of the world--can’t share it with the researchers for reasons of customer privacy. “Even if we anonymize it, we’re handcuffed because we can’t give out data that can be reasonably be used to reconstruct who someone really is,” the Chief Scientist, Darren Vengroff, tells Fast Company.

Vengroff, however, has come up with a novel solution: He’s created a “black box” of sorts with real-world data that researchers can use to run experiments on. Researchers won’t be able to look at the data, but they will be able to dump their algorithms in and have the box spit out results, which the researchers can then use to refine their hypotheses.…"]]></description>
<dc:subject>analytics datamining recommendation_systems cloud_computing data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:c096496ad28b/</dc:identifier>
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<item rdf:about="http://oreilly.com/catalog/0636920010203?green=19668445011&amp;cmp=af-mybuy-0636920010203.IP">
    <title>Mining the Social Web - O'Reilly Media</title>
    <dc:date>2011-01-31T01:41:19+00:00</dc:date>
    <link>http://oreilly.com/catalog/0636920010203?green=19668445011&amp;cmp=af-mybuy-0636920010203.IP</link>
    <dc:creator>amy</dc:creator><dc:subject>datamining analytics social_media twitter thinkup python books</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:c46bcd0a2daf/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:datamining"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:twitter"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:thinkup"/>
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<item rdf:about="http://home.dei.polimi.it/matteucc/Clustering/tutorial_html/">
    <title>Clustering - Introduction</title>
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    <link>http://home.dei.polimi.it/matteucc/Clustering/tutorial_html/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[A Tutorial on Clustering Algorithms
]]></description>
<dc:subject>algorithms datamining statistics reference thinkup</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:ca66c2b51b60/</dc:identifier>
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<item rdf:about="http://www.kdnuggets.com/2010/12/innocentive-model-biomarkers-asthma-outcomes.html?utm_source=twitterfeed&amp;utm_medium=twitter&amp;utm_campaign=Feed%3A+kdnuggets-data-mining-analytics+%28KDnuggets%3A+Data+Mining+and+Analytics%29">
    <title>Award for Math Model that Relates Biomarkers of Asthma with Clinical Outcomes</title>
    <dc:date>2010-12-28T12:03:19+00:00</dc:date>
    <link>http://www.kdnuggets.com/2010/12/innocentive-model-biomarkers-asthma-outcomes.html?utm_source=twitterfeed&amp;utm_medium=twitter&amp;utm_campaign=Feed%3A+kdnuggets-data-mining-analytics+%28KDnuggets%3A+Data+Mining+and+Analytics%29</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Award for Math Model that Relates Biomarkers of Asthma with Clinical Outcomes: The Seeker is looking...  #datamining]]></description>
<dc:subject>#datamining datamining</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:5ec1d4e8be2b/</dc:identifier>
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<item rdf:about="http://datavisualization.ch/">
    <title>Datavisualization.ch</title>
    <dc:date>2010-12-22T16:24:56+00:00</dc:date>
    <link>http://datavisualization.ch/</link>
    <dc:creator>amy</dc:creator><dc:subject>datamining visualizations</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:a05915b43c17/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:datamining"/>
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</item>
<item rdf:about="http://chem-eng.utoronto.ca/~datamining/dmc/data_mining_map.htm">
    <title>Data Mining Map</title>
    <dc:date>2010-11-24T15:08:48+00:00</dc:date>
    <link>http://chem-eng.utoronto.ca/~datamining/dmc/data_mining_map.htm</link>
    <dc:creator>amy</dc:creator><description><![CDATA[online datamining book]]></description>
<dc:subject>books reference datamining</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:5e1a0cd64f45/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:books"/>
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<item rdf:about="http://www.kdnuggets.com/2010/11/online-data-mining-book.html?utm_source=twitterfeed&amp;utm_medium=twitter&amp;utm_campaign=Feed%3A+kdnuggets-data-mining-analytics+%28KDnuggets%3A+Data+Mining+and+Analytics%29">
    <title>Online book: Introduction to data mining</title>
    <dc:date>2010-11-23T19:33:57+00:00</dc:date>
    <link>http://www.kdnuggets.com/2010/11/online-data-mining-book.html?utm_source=twitterfeed&amp;utm_medium=twitter&amp;utm_campaign=Feed%3A+kdnuggets-data-mining-analytics+%28KDnuggets%3A+Data+Mining+and+Analytics%29</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Online book: Introduction to data mining: this online book was created by the Data Mining group at t...  #datamining]]></description>
<dc:subject>#datamining datamining</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:54b5e8be816e/</dc:identifier>
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<item rdf:about="http://bookmooch.com/api/feeds">
    <title>Data Feeds at BookMooch</title>
    <dc:date>2010-11-18T14:19:02+00:00</dc:date>
    <link>http://bookmooch.com/api/feeds</link>
    <dc:creator>amy</dc:creator><dc:subject>books datamining analytics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:e3ba9ce7444a/</dc:identifier>
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<item rdf:about="http://www.kdnuggets.com/2010/11/predictivedb-online-learning.html">
    <title>PredictiveDB is SQL-based predictive software (currently in alpha)</title>
    <dc:date>2010-11-15T11:28:20+00:00</dc:date>
    <link>http://www.kdnuggets.com/2010/11/predictivedb-online-learning.html</link>
    <dc:creator>amy</dc:creator><description><![CDATA[PredictiveDB uses SQL for on-line learning or predicting - become an alpha tester  #datamining]]></description>
<dc:subject>#datamining datamining</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:8578960ca2a9/</dc:identifier>
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<item rdf:about="http://consumerist.com/2010/11/capital-one-made-me-different-loan-offers-depending-on-which-browser-i-used.html">
    <title>Capital One Made Me Different Loan Offers Depending On Which Browser I Used - The Consumerist</title>
    <dc:date>2010-11-04T16:21:14+00:00</dc:date>
    <link>http://consumerist.com/2010/11/capital-one-made-me-different-loan-offers-depending-on-which-browser-i-used.html</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Your choice of browser may affect the price you get on loan offers  via @slashdot #datamining #strataconf]]></description>
<dc:subject>#strataconf #datamining strataconf datamining</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:8d570ea68c87/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:#strataconf"/>
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<item rdf:about="http://www.googlelabs.com/show_details?app_key=agtnbGFiczIwLXd3d3ITCxIMTGFic0FwcE1vZGVsGK0pDA">
    <title>Fusion Tables - Google Labs</title>
    <dc:date>2010-10-16T16:05:47+00:00</dc:date>
    <link>http://www.googlelabs.com/show_details?app_key=agtnbGFiczIwLXd3d3ITCxIMTGFic0FwcE1vZGVsGK0pDA</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Fusion Tables is a service for managing large collections of tabular data in the cloud. You can upload tables of up to 100MB and share them with collaborators, or make them public. You can apply filters and aggregation to your data, visualize it on maps and other charts, merge data from multiple tables, and export it to the Web or csv files. You can also conduct discussions about the data at several levels of granularity, such as rows, columns and individual cells.]]></description>
<dc:subject>analysis datamining google visualizations</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:f9a2eda1fb89/</dc:identifier>
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<item rdf:about="http://tinyurl.com/26gqfgo">
    <title>IBM to buy more analytics companies, rivals worried</title>
    <dc:date>2010-10-14T13:52:55+00:00</dc:date>
    <link>http://tinyurl.com/26gqfgo</link>
    <dc:creator>amy</dc:creator><description><![CDATA[IBM to buy more analytics companies, rivals worried: IBM plans to buy more companies within the m...  #datamining]]></description>
<dc:subject>#datamining datamining</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:95b6fdd7ae5d/</dc:identifier>
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<item rdf:about="http://www.kdnuggets.com/2010/10/ibm-to-buy-more-analytics-companies.html?utm_source=twitterfeed&amp;utm_medium=twitter&amp;utm_campaign=Feed%3A+kdnuggets-data-mining-analytics+%28KDnuggets%3A+Data+Mining+and+Analytics%29">
    <title>IBM to buy more analytics companies, rivals worried</title>
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    <dc:creator>amy</dc:creator><description><![CDATA[ZOMG! How did I miss this?  _The Datamining desktop survival guide_:   #stats #datamining #R #datapimp]]></description>
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<item rdf:about="http://mahout.apache.org/">
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<item rdf:about="http://zyxo.wordpress.com/2010/09/17/why-decision-trees-is-the-best-data-mining-algorithm/">
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<item rdf:about="http://www.datapointed.net/">
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<item rdf:about="http://datasift.net/">
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<item rdf:about="https://rowfeeder.com/">
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<item rdf:about="http://www.kdnuggets.com/2010/07/b-memphis-cuts-crime-with-predictive-analytics.html?utm_source=twitterfeed&amp;utm_medium=twitter&amp;utm_campaign=Feed%3A+kdnuggets-data-mining-analytics+%28KDnuggets%3A+Data+Mining+and+Analytics%29">
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<item rdf:about="http://www-users.cs.umn.edu/~kumar/dmbook/index.php">
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Includes extensive number of integrated examples and figures.
Offers instructor resources including solutions for exercises and complete set of lecture slides.
Assumes only a modest statistics or mathematics background, and no database knowledge is needed.
Topics covered include; predictive modeling, association analysis, clustering, anomaly detection, visualization.]]></description>
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<item rdf:about="http://www.kdnuggets.com/2010/05/software-gephi-free-network-visualization-platform.html?utm_source=twitterfeed&amp;utm_medium=twitter&amp;utm_campaign=Feed%3A+kdnuggets-data-mining-analytics+%28KDnuggets%3A+Data+Mining+and+Analytics%29">
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<item rdf:about="http://twittertim.es/">
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<item rdf:about="http://expertlabs.org/2010/05/grand-challenges-the-first-results.html">
    <title>Grand Challenges: The First Results - Expert Labs</title>
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<dc:subject>twitter datamining</dc:subject>
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<item rdf:about="http://scraperwiki.com/">
    <title>Welcome | ScraperWiki</title>
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    <link>http://scraperwiki.com/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[ScraperWiki code libraries make scraping, parsing and geocoding simple]]></description>
<dc:subject>datamining api python</dc:subject>
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<item rdf:about="http://code.google.com/apis/predict/">
    <title>Google Prediction API - Google Code</title>
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    <link>http://code.google.com/apis/predict/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[The Prediction API enables access to Google's machine learning algorithms to analyze your historic data and predict likely future outcomes. Upload your data to Google Storage for Developers, then use the Prediction API to make real-time decisions in your applications. The Prediction API implements supervised learning algorithms as a RESTful web service to let you leverage patterns in your data, providing more relevant information to your users. Run your predictions on Google's infrastructure and scale effortlessly as your data grows in size and complexity.]]></description>
<dc:subject>machine_learning datamining statistics google</dc:subject>
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<item rdf:about="http://languagelog.ldc.upenn.edu/nll/?p=2334">
    <title>Language Log » Mapping the Demographics of American English with Twitter</title>
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    <dc:creator>amy</dc:creator><description><![CDATA[Mapping the Demographics of American English with Twitter -  this will be a very rich area for academics #twitter]]></description>
<dc:subject>twitter linguistics language datamining #twitter</dc:subject>
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<item rdf:about="http://toxiclibs.org/">
    <title>toxiclibs</title>
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    <link>http://toxiclibs.org/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[processing-related]]></description>
<dc:subject>datamining visualizations</dc:subject>
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<item rdf:about="http://oreilly.com/catalog/9780596157111/">
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    <dc:creator>amy</dc:creator><description><![CDATA[RT @OReillyMedia #Ebook Deal of the Day: Beautiful Data - Only $9.99 use code DDBDA ]]></description>
<dc:subject>books ebooks datamining data #Ebook Ebook visualizations</dc:subject>
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<item rdf:about="http://getpivot.com/">
    <title>Learn More about Pivot | Live Labs Pivot</title>
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<item rdf:about="http://www.kdnuggets.com/2010/04/pub-data-mining-with-weka.html?utm_source=twitterfeed&amp;utm_medium=twitter&amp;utm_campaign=Feed%3A+kdnuggets-data-mining-analytics+%28KDnuggets%3A+Data+Mining+and+Analytics%29">
    <title>Data mining with WEKA, Part 1: Introduction and regression</title>
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    <dc:creator>amy</dc:creator><description><![CDATA[Data mining with WEKA, Part 1: Introduction and regression: an intro to data mining and to WEKA, free a...  #datamining]]></description>
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<item rdf:about="http://www.kdnuggets.com/2010/04/b-boeing-gives-to-vancouver-institute-for-visual-analytics.html?utm_source=twitterfeed&amp;utm_medium=twitter&amp;utm_campaign=Feed%3A+kdnuggets-data-mining-analytics+%28KDnuggets%3A+Data+Mining+and+Analytics%29">
    <title>Boeing gives $1.25 million to launch new tech institute</title>
    <dc:date>2010-04-27T16:45:08+00:00</dc:date>
    <link>http://www.kdnuggets.com/2010/04/b-boeing-gives-to-vancouver-institute-for-visual-analytics.html?utm_source=twitterfeed&amp;utm_medium=twitter&amp;utm_campaign=Feed%3A+kdnuggets-data-mining-analytics+%28KDnuggets%3A+Data+Mining+and+Analytics%29</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Boeing gives $1.25 million to launch new tech institute: Vancouver Institute for Visual Analytics bring...  #datamining]]></description>
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<dc:source>https://twitter.com/</dc:source>
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<item rdf:about="http://www.nytimes.com/2008/08/31/technology/31novel.html?_r=1">
    <title>Novelties - Lines and Bubbles and Bars, Oh My! New Ways to Sift Data - NYTimes.com</title>
    <dc:date>2010-04-15T13:18:20+00:00</dc:date>
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    <dc:creator>amy</dc:creator><dc:subject>datamining data visualizations</dc:subject>
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<item rdf:about="http://flowingmedia.com/">
    <title>Flowing Media: Your Data Has Something To Say</title>
    <dc:date>2010-04-15T01:52:19+00:00</dc:date>
    <link>http://flowingmedia.com/</link>
    <dc:creator>amy</dc:creator><dc:subject>datamining analytics visualizations</dc:subject>
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<item rdf:about="http://www.researchbuzz.org/wp/tweets-without-tears/?utm_source=feedburner&amp;utm_medium=twitter&amp;utm_campaign=Feed%3A+researchbuzz%2Fmain+%28ResearchBuzz%29&amp;utm_content=Twitter">
    <title>ResearchBuzz » How To Scan Thousands of Tweets Without Tears</title>
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    <dc:creator>amy</dc:creator><dc:subject>twitter datamining</dc:subject>
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<item rdf:about="http://www.loc.gov/tweet/how-tweet-it-is.html">
    <title>How Tweet It Is!: Library Acquires Entire Twitter Archive « Library of Congress Blog</title>
    <dc:date>2010-04-14T21:41:20+00:00</dc:date>
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    <dc:creator>amy</dc:creator><dc:subject>twitter datamining archives</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="http://www.dataminingblog.com/what-is-a-good-classification-accuracy-in-data-mining/">
    <title>(500) http://www.dataminingblog.com/what-is-a-good-classification-accuracy-in-data-mining/</title>
    <dc:date>2010-04-12T07:11:28+00:00</dc:date>
    <link>http://www.dataminingblog.com/what-is-a-good-classification-accuracy-in-data-mining/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Interesting post: What is a good classification accuracy in data mining?  #datamining /RT @paulblaser]]></description>
<dc:subject>#datamining datamining</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:bbb9f266dc2f/</dc:identifier>
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<item rdf:about="http://blog.okcupid.com/index.php/2010/03/30/the-democrats-are-doomed-or-how-a-big-tent-can-be-too-big/">
    <title>The Democrats Are Doomed, or How A ‘Big Tent’ Can Be Too Big « OkTrends</title>
    <dc:date>2010-03-31T13:58:42+00:00</dc:date>
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    <dc:creator>amy</dc:creator><dc:subject>datamining usa politics visualizations</dc:subject>
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<dc:identifier>https://pinboard.in/u:amy/b:3f05ca374bdd/</dc:identifier>
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<item rdf:about="http://mydatamine.com/?p=308">
    <title>My Data Mining Weblog » Watch Online Data Mining Tutorial with RapidMiner 5.0</title>
    <dc:date>2010-03-13T13:35:10+00:00</dc:date>
    <link>http://mydatamine.com/?p=308</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Watch Online Data Mining Tutorial with RapidMiner 5.0]]></description>
<dc:subject>datamining statistics</dc:subject>
<dc:source>https://twitter.com/</dc:source>
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<item rdf:about="http://blog.okcupid.com/index.php/2010/02/16/the-case-for-an-older-woman/">
    <title>The Case For An Older Woman « OkTrends</title>
    <dc:date>2010-02-19T02:07:53+00:00</dc:date>
    <link>http://blog.okcupid.com/index.php/2010/02/16/the-case-for-an-older-woman/</link>
    <dc:creator>amy</dc:creator><dc:subject>culture sex statistics datamining visualizations</dc:subject>
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<dc:identifier>https://pinboard.in/u:amy/b:34d46a3bc3eb/</dc:identifier>
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<item rdf:about="http://petewarden.typepad.com/searchbrowser/2010/02/how-to-split-up-the-us.html">
    <title>PeteSearch: How to split up the US</title>
    <dc:date>2010-02-08T20:48:00+00:00</dc:date>
    <link>http://petewarden.typepad.com/searchbrowser/2010/02/how-to-split-up-the-us.html</link>
    <dc:creator>amy</dc:creator><description><![CDATA[How to split up the US: what facebook tells us about the shape of the country.  More:  (via @brady)]]></description>
<dc:subject>analytics datamining statistics culture geography</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="http://vis.stanford.edu/protovis/">
    <title>Protovis</title>
    <dc:date>2009-12-27T16:21:29+00:00</dc:date>
    <link>http://vis.stanford.edu/protovis/</link>
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