Using data mining methods to build customer profiles

Gediminas Adomavicius, Alexander Tuzhilin

Research output: Contribution to journalArticlepeer-review

188 Scopus citations


An approach was developed that uses information from customers' transactional histories to construct individual profiles containing facts about the customer and rules describing that customer's behavior. A method was also established for validating customer's profiles to separate 'good' rules from 'bad'. The profile construction and validation methods were implemented using the 1:1Pro system.

Original languageEnglish (US)
Pages (from-to)74-81
Number of pages8
Issue number2
StatePublished - Feb 2001


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