摘要：During the year 1982, rough set theory was introduced by Z Pawlak in order to deal with uncertain data. Rough set theory relies only on the available data and attributes to analyze features as well as to generate classification rules without any additional information. Here we have used rough set theory to find out reduct and core of the call center data by reducing the superfluous information, and then provided an algorithm based upon the hidden pattern in data which will adequately increase the efficiency of the organization
