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August 2009 Blog Posts (14)

Credit card fraud detection

me new in this field, working on data mining ON credit card transaction record, want to use algo's on it Delete Comment

Added by hafiz kashif munir on August 28, 2009 at 10:23pm — No Comments

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

Free 'Predictive Analytics' TUTORIALS now available on HANDBOOK Companion Web page .....

The following Web page went live this week. It contains free TUTORIALS in Data MIining / Predictive Anaytics; the first set of 6 tutorials cover several topics from "Score Cards" to "Predicting Hurricanes", utilizing SAS-EM, SPSS-PASW, and STATISTISTICA Data MIner; see:

http://www.elsevierdirect.com/companion.jsp?ISBN=9780123747655

Added by Gary D. Miner, Ph.D. on August 28, 2009 at 12:34pm — 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

Interviewed by Infosys on "Predictive Analytics: What Makes Enterprises More Competitive?"

Interviewed by Infosys for the Industry Speak section of their Technology Roundtable. Topic is "Predictive Analytics: What Makes Enterprises More Competitive?"



Shared a number of real world examples. Read it here & share your thoughts:



http://www.infosys.com/newsletter/technology-roundtable/prev/june09/industry-speak-joeyfitts.htm











OTHER RESOURCES:

Join FaceBook page… Continue

Added by Joey Fitts on August 13, 2009 at 9:37pm — No Comments

i am searching job

Vivekk Goyal

















Career Objective



Seeking an Interactive-challenging environment wherein I can apply my Knowledge, Experience & personal skills towards the growth of an Organization.





Corporate Exposure



• Worked as Executive at Keane Pvt Ltd (International/Gurgaon) from December 2006 to February 2009. My core responsibilities under Pegasus process includes: -



 Rate and data maintenance with… Continue

Added by Vivekk Goyal on August 12, 2009 at 1:56am — 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

ASSESSING PORTFOLIO CREDIT RISK CHANGES IN A SAMPLE OF EU LARGE AND COMPLEX BANKING GROUPS IN REACTION TO MACROECONOMIC SHOCKS

ASSESSING PORTFOLIO CREDIT

RISK CHANGES IN A SAMPLE

OF EU LARGE AND COMPLEX

BANKING GROUPS IN REACTION

TO MACROECONOMIC SHOCKS



by Olli Castrén, Trevor Fitzpatrick

and Matthias Sydow



I am not going to quote the abstract as I usually do I am simply going to say that if you have an interest in Credit Risk Stress Testing then



YOU HAVE TO READ THIS PAPER!!!…



Continue

Added by John A Morrison on August 10, 2009 at 1:04am — 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

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

Director, Data Strategy & Analytics opening in NYC

http://www.quantster.com/jobA0072.html

Added by Jim Varriale | QUANTster.com on August 2, 2009 at 7:18pm — 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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