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Featured Blog Posts – August 2009 Archive (12)

Sharky Neural Network - documentation uploaded

Sharky Neural Network is a free educational software for playing with neural networks classification. See SNN official web page.



I have uploaded documentation for Sharky Neural Network.

http://www.sharktime.com/snn/help/



Also, I have made two movies with neural networks classification, see:…

Continue

Added by SharkTime on August 28, 2009 at 5:30pm — No Comments

Monitoring brand using discourse analysis

I have submitted a post on my blog to describe the basics of monitoring brand using discourse analysis. See http://discourseweb.wordpress.com/2009/08/28/monitoring-brand/

Added by Andrzej Góralczyk on August 28, 2009 at 3:57pm — 1 Comment

From Terabytes to Petabytes: Computer Scientists Develop New Hybrid Database System

From Terabytes to Petabytes: Computer Scientists Develop New Hybrid Database System

Yale University (08/26/09) Muzzin, Suzanne Taylor



Yale computer scientists recently demonstrated HadoopDB, their new open source system for managing huge amounts of data, at the VLDB conference in Lyon, France. The computer scientists used the gathering to discuss the results of a performance analysis and to provide an overview of its characteristics, run-time performance, loading time, fault… Continue

Added by Amy on August 28, 2009 at 12:55pm — No Comments

Defying Experts, Rogue Computer Code Still Lurks

New York Times (08/26/09)

Markoff, John



Conficker, a rogue software program that was discovered spreading across the Internet last November, continues to baffle top security experts working to eradicate the program and discover its origin and purpose. Conficker uses a flaw in Windows software to co-opt machines and connect them to a virtual computer that can be remotely controlled by the software's creators. More than 5 million computers, including government, business, and home… Continue

Added by Amy on August 28, 2009 at 12:30pm — No Comments

in-database data mining

I have been building data mining solutions within relational databases. Almost every process is done within the database environment. We enjoy the functions provided by databases: security, scalability, analytic functions, manageability, easy model deployment, SQL, etc. Since data mining is done on the server side, the crash of my laptop hard drive has minimum impact on my work (it happened twice in the last two years).

Added by Jiang (Jay) Zhou on August 23, 2009 at 10:49am — 3 Comments

Determining Seasonality using PROC X11 in SAS

Determining seasonality, deseasonlizing seasonal data, getting trend indices, getting seasonality indices have always been a boring nightmare for Analysts when it comes to analysing percentage increase in some parameter like sales, visits, frauds etc., negating the effects due to seasonality. All the above mentioned so called "NIGHTMARES"can be easily handled with the powerful but less used SAS procedure called PROC X11.



PROC X11 works as below,

It splits the actual data into… Continue

Added by Jayakrishna Venkatesh on August 21, 2009 at 6:02am — No Comments

And You Thought a Prescription Was Private - Data Mining of Prescription Records

From Milt Freudenheim, New York Times



MORE than 10 years after she tried without success to have a baby, Marcy Campbell Krinsk is still receiving painful reminders in her mail. The ads and promotions started after she bought fertility drugs at a pharmacy in San Diego.



Marketers got hold of her name, and she found coupons and samples in her mail that shadowed the growth of an imaginary child — at first, for Pampers and baby formula, then for discounts on family photos, and… Continue

Added by Amy on August 11, 2009 at 8:51pm — No Comments

#20: Here's a thought...

An occasional series in which a review of recent posts on SmartData Collective reveals the following nuggets:



Prediction + understanding

In my view, predictive models can be powerful business tools, but they have the potential to lead us into a false belief that because we can predict something on the basis of mathematical relationships, we understand what we’re predicting. We might also lapse into an expectation that “prediction” based on past behavior is in fact… Continue

Added by Brian Roger on August 11, 2009 at 11:49am — No Comments

A model of mortgage credit: Central Bank of Ireland

Diarmaid Addison-Smyth, Kieran McQuinn and Gerard O’Reilly





Abstract





The emergence and proliferation of the international financial crisis since mid-2007 has,

amongst other issues, refocussed attention on the interrelationship between mortgage credit

availability and house prices. A growing body of opinion is now of the view that the increase

in credit availability internationally was a primary contributor to the rate of house price… Continue

Added by John A Morrison on August 7, 2009 at 4:35am — 1 Comment

For Today’s Graduate, Just One Word: Statistics

Source: Steve Lohr, New York Times



MOUNTAIN VIEW, Calif. — At Harvard, Carrie Grimes majored in anthropology and archaeology and ventured to places like Honduras, where she studied Mayan settlement patterns by mapping where artifacts were found. But she was drawn to what she calls “all the computer and math stuff” that was part of the job.





Carrie Grimes, senior staff engineer at Google, uses statistical analysis of data to help improve the company's search engine.… Continue

Added by Amy on August 6, 2009 at 10:00am — 3 Comments

Collaborative Filtering with Temporal Dynamics

Collaborative Filtering with Temporal Dynamics: Yehuda Koren's paper (http://research.yahoo.com/files/kdd-fp074-koren.pdf) , describes recommendation algorithm incorporating time dependent info.



Koren's paper describes in part the winning algorithm for Netfix's contest, http://www.netflixprize.com//index . It is very interesting algorithm and all comments on the paper are welcome. A news article describing the team is here:… Continue

Added by Patricia Hoffman, Ph.D. on August 5, 2009 at 9:03am — No Comments

#19: Here's a thought...

An occasional series in which a review of recent posts on SmartData Collective reveals the following nuggets:



It happens

One of the most common obstacles organizations face with data quality initiatives is that many initial attempts end in failure. Some fail because of lofty expectations, unmanaged scope creep, and the unrealistic perspective that data quality problems can be permanently “fixed” by a one-time project as opposed to needing a sustained program. However,… Continue

Added by Brian Roger on August 2, 2009 at 2:37pm — No Comments

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