Consumer Profile Identification and Allocation

Details Consumer Profile Identification and Allocation Consumer Profile Identification and Allocation

2007-02-28

arxiv.org/abs/math/0702866v2

Mathematics

Statistics Theory

Accepted in the IWANN 07 conference San Sebastian, June 2007)

Scientific paper

We propose an easy-to-use methodology to allocate one of the groups which have been previously built from a complete learning data base, to new individuals. The learning data base contains continuous and categorical variables for each individual. The groups (clusters) are built by using only the continuous variables and described with the help of the categorical ones. For the new individuals, only the categorical variables are available, and it is necessary to define a model which computes the probabilities to belong to each of the clusters, by using only the categorical variables. Then this model provides a decision rule to assign the new individuals and gives an efficient tool to decision-makers. This tool is shown to be very efficient for customers allocation in consumer clusters for marketing purposes, for example.

Affiliated with

Also associated with

No associations

Rating

Consumer Profile Identification and Allocation does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Consumer Profile Identification and Allocation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Consumer Profile Identification and Allocation will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-524918