Articles and Publications

Predicting Late Payments: A Study in Tenant Behavior Using Data Mining Techniques

In this article published in the Journal of Real Estate Portfolio Management, the probability that a commercial tenant will make a late payment in the near future is estimated.  The study follows the CRISP methodology and uses several statistical techniques to solve the problem.  The result is a model with a predictive ability that is considerably better than a dartboard approach.



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