Abstract: The problem of dealing with imperfect information in knowledge discovery is further studied in this paper. A hypercuboid approach using over lapping feature intervals for partitioning continuous value into intervals is presented. Efforts have been made to find the set of values which the attributes with incomplete value may take and to determine whether the attributes are of strong effect or correlated with others, resulting in a satisfactory solution to such a problem.