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Using data mining methods to build customer profiles

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2 Author(s)
Adomavicius, G. ; Courant Inst. of Math. Sci., New York Univ., NY, USA ; Tuzhilin, A.

This paper describes 1:1 Pro system which constructs personal profiles based on customers' transactional histories. The system uses data mining techniques to discover a set of rules describing customers' behavior and supports human experts in validating the rules

Published in:

Computer  (Volume:34 ,  Issue: 2 )