Briefs

30th Apr 2009 - New York, NY / Chennai, India: LatentView Analytics (LatentView), a leading Predictive Analytics and Decision Management services firm, is ranked as one of the top analytical services firms in the recently concluded PAKDD 2009 data mining competition. LatentView finished amongst 10 teams to take top honors at the 13th edition of the prestigious event. This year's competition saw active participation with entries from over 140 teams.

The business problem was to develop a predictive risk assessment model to rank order credit card applicants on their probability to default on payments. LatentView developed a suite of models to derive the final score for every customer and rank-order them on their default propensity.

"The success at PAKDD data mining competition is testament to the talent of the team and innovativeness of our approach to client problems. Coming on the heels of our success at the INFORMS 2008 data mining contest, this success validates that our recent achievements are a result of our systematic approach, robust methodology and stringent quality processes", says Venkat Viswanathan, CEO of LatentView Analytics.

The team was led by Srividhya Kannan and ably supported by Priya Balakrishnan. The team used 3 classes of techniques namely - Regression, Decision Tree & Stochastic Boosting Algorithm. The differentiator was in the innovative application of the different techniques to develop the solution. The approach involved developing an Ensemble of Models using the techniques on various random samples and using novel methods to combine the individual predictions to determine the final prediction.

For more information, please visit us at http://www.LatentView.com.