An approach for inducing interesting incremental knowledge based on the change of attribute values

The change process of attribute values is considered to be divided into four cases: the coarsening and refining of condition (decision) attribute values in this paper. Then, the accuracy matrix and converge matrix are induced to describe the interesting rules and the incremental learning approach and its algorithm are proposed to acquire interesting knowledge when the attribute values are changing. Finally, a case is studied to validate the feasibility of the proposed method.