3. The method of claim 2 , said transaction data comprising a mixture of interspersed customer purchases, said purchases comprising both of intentional purchases, which comprise a logical or signal part of said transaction data because there is a predictable pattern in intentional purchases of a customer, and emotion driven impulsive purchases, which add noise to the intentional purchase patterns of customers.
4. The method of claim 3 , further comprising: identifying, by at least one data processor, purchase patterns embedded in said transaction data that are associated with intentional behavior.