An approach for inducing interesting incremental knowledge based on the change of attribute values
- Resource Type
- Authors
- Tianrui Li; Dun Liu; Pei Hu; Gangrong Liu
- Source
- GrC
- Subject
- Approximation theory
Matrix (mathematics)
Association rule learning
Incremental learning
Information system
Process (computing)
Attribute domain
Rough set
Data mining
computer.software_genre
computer
Mathematics
- Language
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.