The component search—two-steps optimal algorithm for data-mining in dynamic environments
Ching-Lien Huang, Ching I Lin, Shih-Hung Tai · Journal of Statistics and Management Systems · 2012
This work presents A novel algorithm, the Component Search-Two Steps Optimal algorithm (CS-TSO), which combines the Component Search and Two-Steps Optimal (TSO) algorithm for parameter selection in product design, and parameter adjustment under in dynamic environments. From the results of the confirm experiment, an electricity company is adopted to applies in the methodology, we find that the methodology of the CS-TSO algorithm can easily solves pattern-recognition problems, and is computationally efficient for constructing A model of A system. The CS-TSO algorithm is good at pattern-recognition and model construction of A dynamic system.