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Contents contributed and discussions participated by Roger Chen

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Roger Chen

Useful Stock Phrases for Your Business Emails - 0 views

www.dailywritingtips.com/rases-for-your-business-emails

writing

shared by Roger Chen on 30 Jun 08 - Cached
  • Roger Chen on 30 Jun 08
     
    Very useful collection of "phrases" :-)
Roger Chen

Data & Knowledge Engineering (0169-023X) - ACM Guide to Computing Literature - 0 views

portal.acm.org/toc.cfm

data mining journals papers

shared by Roger Chen on 30 Jun 08 - Cached
  • Roger Chen on 30 Jun 08
     
    Data & Knowledge Engineering (0169-023X)
Roger Chen

Expert Systems with Applications: An International Journal (0957-4174) - 0 views

portal.acm.org/toc.cfm

data mining journals papers

shared by Roger Chen on 30 Jun 08 - Cached
  • Roger Chen on 30 Jun 08
     
    ACM Portal - Expert Systems with Applications: An International Journal
Roger Chen

Social Network Evolution - Sean Percival's Blog - 0 views

www.seanpercival.com/...social-network-evolution

internetwatch social network

shared by Roger Chen on 30 Jun 08 - Cached
  • Some of us run to each new service, play around for a bit and then quickly abandon it.
    • Roger Chen
      Roger Chen on 30 Jun 08
       
      This aplles to many applications. LOL.
Roger Chen

Should You Invest in the Long Tail? - 0 views

harvardbusinessonline.hbsp.harvard.edu/...article.jsp

internetwatch longtail

shared by Roger Chen on 30 Jun 08 - Cached
  • Roger Chen on 30 Jun 08
     
    Anita Elberse, a Harvard Business School associate professor, has a really interesting article in the new Harvard Business Review that analyzes some Long Tail data and challenges some of the theory's predictions.
Roger Chen

Why the cloud cannot obscure the scientific method - 0 views

arstechnica.com/...ure-the-scientific-method.html

data mining thinking

shared by Roger Chen on 26 Jun 08 - Cached
  • Overall, the foundation of the argument for a replacement for science is correct: the data cloud is changing science, and leaving us in many cases with a Google-level understanding of the connections between things. Where Anderson stumbles is in his conclusions about what this means for science. The fact is that we couldn't have even reached this Google-level understanding without the models and mechanisms that he suggests are doomed to irrelevance.
  • Anderson appears to take the position that the new research part of the equation has become superfluous; simply having a good algorithm that recognizes the correlation is enough.
  • Correlations are a way of catching a scientist's attention, but the models and mechanisms that explain them are how we make the predictions that not only advance science, but generate practical applications.
  • ...1 more annotation...
  • without the testable predictions made by the theory, we'll never be able to tell how precisely it is wrong
  • Roger Chen on 26 Jun 08
     
    This article is a response to Chris Anerson's article "The End of Theory: The Data Deluge Makes the Scientific Method Obsolete" - http://www.wired.com/science/discoveries/magazine/16-07/pb_theory
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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