DM: Comparision of Different Data Mining Methods in Insurance

[Jakob Laursen]

Dear colleague

I am trying to find out whether there in practice have been made any 
comparison of different data mining methods with the purpose to 
predict damages in an insurance company respectively to predict the 
additional sale and drop-out behavior as to direct marketing 
activities.

I am thinking of a comparision of e.g.

· Logistic regression
· Linear regression
· Non-linear regression
· Neutral net

Which methods give notoriously the best stability as to a temporal 
point of view.

What is the difference in the different methods ability to predict 
the customer behavior.

Which method is the easiest to survey the effect of?

If you have any practical experiences in comparisons in either 
insurance or in marketing activities, I would be pleased to hear from 
you.


Yours faithfully


Jakob Laursen


Head of dep. f Analysis and Support

ALKA Insurance
Engelholm alle 1
Dk 2630 Taastrup
Denmark







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