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Featured Blog Posts – June 2011 Archive (16)

Understanding data miners

From Rexer Analytics. See for full version.

Data Mining Practices

Added by Vincent Granville on June 28, 2011 at 9:39pm — 2 Comments

Startups to Compete for Analytics Market Opportunity at IBM SmartCamp

ARMONK, N.Y.June 23, 2011 /PRNewswire/ -- A new generation of startups is entering the market with software designed to analyze large volumes of data, IBM (NYSE: IBM) said today. The company is coaching a new group of entrepreneurs who will compete next week in the New York City IBM Global Entrepreneur SmartCamp competition. The five finalists have developed software…


Added by Mirko Krivanek on June 26, 2011 at 10:17pm — 1 Comment

Making Disruptive Innovation Happen

How do you motivate someone to create something that disrupts the paradigm and rewrites the rules? Do you say, “Give me something disruptive and I will pay you ten times your salary“. No. Disruption or innovation happens only under two situations:

  1. If our survival is challenged by nature, we innovate to survive. This has been the story of human history from the day we started walking this earth.
  2. Or, if our egos are challenged. This is probably why extreme sports…

Added by Christopher Bound on June 23, 2011 at 8:13am — No Comments

From Data Mining to Statistical Data Mining: Emerging Opportunities for Statisticians and Businesses

Dr. Granville is Chief Scientist at a publicly traded company, and the founder of Analyticbridge, the leading social network for analytic professionals, with more than 35,000 members. He has created several patents related to web traffic quality scoring, and he is an invited speaker at leading international data mining conferences. Vincent has consulted with Visa, eBay, Wells Fargo, Microsoft, CNET, LowerMyBills, InfoSpace and a…


Added by Vincent Granville on June 21, 2011 at 2:25pm — No Comments

Relationship between American Idol and iPhone Web Searches

As a coincidence, I noticed from Google Insights for Search that there was some sort of correlation between web search interests in "American Idol" (singing competition on US television) and "iPhone" (Apple smartphone).  Looking at the time series graph, it appears that American Idol searches are seasonal from January to May each year, which correspond to the months which this television series is broadcast.  As soon as American Idol interest drops in June, searches for iPhone spike in the…


Added by Jimmy Wong on June 20, 2011 at 1:42am — No Comments

Predictive Analytics in Sport – Stanley Cup 2011 Game 7 analysis

Yesterday's expert analysis here decided that Boston has a slight advantage in spite of the finals going to game 7 in Vancouver. We decided to dig a little deeper into the data and try out a quick decision tree analysis using RapidMiner.

We are trying to find out if the data reveals any interesting trends from all the games Vancouver has played at home. Is there a…


Added by Vincent Granville on June 19, 2011 at 3:11pm — 1 Comment

What's Next In Analytics | InformationWeek

With complex statistical models, it can take weeks to produce usable results. Prebuilt, specialized analytic apps promise forward-looking insight that people can act on now. 


Added by Mirko Krivanek on June 16, 2011 at 10:59am — No Comments

Social Networks: The Revolution Will Not Be Monetized | IEEE Spectrum

opening illustration
Illustration: Mckibillo

This is part of IEEE Spectrum's special report on the battle for the future of the social Web.

First thing you do, tear this article out ofthe magazine and carefully set it on fire. It's about the jockeying for position and revenue among the big players in social media: Facebook, Twitter, and…


Added by Mirko Krivanek on June 12, 2011 at 12:18pm — 2 Comments

When did "free" analytics get so expensive?

Interesting message found in my mailbox...


When did "free" analytics get so expensive? …

Added by Vincent Granville on June 9, 2011 at 10:15pm — No Comments

Google, Bing and Yahoo join hands for new to make search easy

While surfing through the Google’s official blog last night, I came across an article about, named ‘Introducing Search engines come together for a richer web’. Bing posted the same with a different heading ‘Introducing Bing, Google and Yahoo Unite to Build the Web of Objects’. So, I researched thoroughly about and penned it down in my own words. Here’s my take on it:-

In the year 2006, Google, Bing and Yahoo joined hands to… Continue

Added by Manish Mohan on June 9, 2011 at 2:23am — No Comments

Analytics helps build better cities | IBM

Analyzing the future of cities

Just as you can look at a newspaper photograph and see both the image and the tiny individual dots that give it its shapes and shadings, city leaders look at their municipalities in terms of both the big picture and the individual citizens that comprise it.

The majority of us live in cities, and the percentage is growing. Municipal leaders who run the complex network of diverse people,…


Added by Vincent Granville on June 7, 2011 at 6:10pm — No Comments

Interesting risk maps











Added by Vincent Granville on June 7, 2011 at 6:00pm — No Comments

Spam detection for social networks: best practices (Part 1)

  1. Provide mandatory questions on sign-up, some requiring typing actual text. Example: What is your favorite data mining software?
  2. Do not allow new members to use your social network e-mail functionality right away. Grant email access after 48 or 72 hours.…

Added by Vincent Granville on June 6, 2011 at 11:30pm — 1 Comment

Are housing prices, mortgage rates, and construction related? - originally posted at

If you haven’t figured it out by now, I’m kind of a nerd. I heard on the news the other day that home prices are falling once again, and my first thought was “I want to see that graphed!” rather than “Oh no, the economy is collapsing!” 


I grabbed the Case Shiller Home Price index information and plotted it as a simple time series in a Line…


Added by Amanda Shankle-Knowlton on June 3, 2011 at 9:21am — No Comments

low accuracy in out of time dataset


Hi guys..I am working on a logistic model. When I did out of sample validation, my percentage detection of the defaulters was 80%. The next I tried is out of time validation. To my dismay the accuracy(percent detection) came down to 33% this time. I am wondering and disappointed by what could have happened. I have profiled both the population and found differences in the distribution of few categorical variables.


Please pour in your ideas as to what can be done to…


Added by Ayush Biyani on June 1, 2011 at 6:44am — 7 Comments

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