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Roger Chen

Data Mining Souce Code Newsletter - Blogs - 0 views

www.kdkeys.net

data mining reference

shared by Roger Chen on 01 Jul 08 - Cached
  • Roger Chen on 01 Jul 08
     
    Download Free Data Mining Source Code In C/C++, C#, Visual Basic, Visual Basic.NET, Java, and other programming languages
Roger Chen

Chris Harrison's Homepage - 0 views

www.chrisharrison.net/index.html

academia people visualization

shared by Roger Chen on 28 Jul 08 - Cached
  • Roger Chen on 28 Jul 08
     
    Chris Harrison is a Ph.D. student in the Human-Computer Interaction Institute at Carnegie Mellon University. This site is used as a repository for some of his many projects. These hail from a variety of fields, including computer science, information visualization, engineering, history and HCI.
Roger Chen

Many Eyes - 0 views

services.alphaworks.ibm.com/...home

visualization

shared by Roger Chen on 25 Jun 08 - Cached
  • Roger Chen on 25 Jun 08
     
    Many Eyes is an IBM site with a goal of making data visualization algorithms and data sets widely available. It is a fantastic place to spend a few hours.
Roger Chen

Business Analytics: VISUALISATION USING GAME ENGINES - 0 views

atomai.blogspot.com/...sation-using-game-engines.html

visualisation

shared by Roger Chen on 26 Jun 08 - Cached
  • Roger Chen on 26 Jun 08
     
    This is a good introductory article that explains how to adapt game engines visualization to business analytics in mobile devices.
Roger Chen

SIMILE Project - 0 views

simile.mit.edu

tools web2.0

shared by Roger Chen on 26 Apr 08 - Cached
  • Roger Chen on 26 Apr 08
     
    Environments SIMILE is focused on developing robust, open source tools that empower users to access, manage, visualize and reuse digital assets. Learn more about the SIMILE project.
Roger Chen

KNIME - Konstanz Information Miner - 0 views

www.knime.org

data mining tools

shared by Roger Chen on 01 Aug 08 - Cached
  • Roger Chen on 01 Aug 08
     
    KNIME, pronounced [naim], is a modular data exploration platform that enables the user to visually create data flows (often referred to as pipelines), selectively execute some or all analysis steps, and later investigate the results through interactive views on data and models.
Roger Chen

The End of Theory: The Data Deluge Makes the Scientific Method Obsolete - 0 views

www.wired.com/...pb_theory

data mining google statistics thinking

shared by Roger Chen on 29 Jun 08 - Cached
  • Sixty years ago, digital computers made information readable. Twenty years ago, the Internet made it reachable. Ten years ago, the first search engine crawlers made it a single database.
  • Google's founding philosophy is that we don't know why this page is better than that one: If the statistics of incoming links say it is, that's good enough.
  • The scientific method is built around testable hypotheses. These models, for the most part, are systems visualized in the minds of scientists. The models are then tested, and experiments confirm or falsify theoretical models of how the world works. This is the way science has worked for hundreds of years.
  • ...6 more annotations...
  • Peter Norvig, Google's research director, offered an update to George Box's maxim: "All models are wrong, and increasingly you can succeed without them."
  • Once you have a model, you can connect the data sets with confidence. Data without a model is just noise.
    • Roger Chen
      Roger Chen on 29 Jun 08
       
      That's what Chris Anderson thought is old-school.
  • But faced with massive data, this approach to science — hypothesize, model, test — is becoming obsolete.
    • Roger Chen
      Roger Chen on 29 Jun 08
       
      Come to conclusion? I don't think so.
  • There is now a better way. Petabytes allow us to say: "Correlation is enough." We can stop looking for models. We can analyze the data without hypotheses about what it might show. We can throw the numbers into the biggest computing clusters the world has ever seen and let statistical algorithms find patterns where science cannot.
  • What can science learn from Google?
  • This kind of thinking is poised to go mainstream.
    • Roger Chen
      Roger Chen on 29 Jun 08
       
      ???
  • Roger Chen on 29 Jun 08
     
    "All models are wrong, and increasing you can succeed without them."
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