Optimization of Data Mining in Dynamic Environments Based on a Component Search Neural Network Algorithm
The searching for patterns and model construction in Data-mining is the important contribution. Previous works report that the Component Search (CS) algorithm is successful and effective for datamining. Conventional research in pattern search and modeling in data-mining only consider data in a static state. Studies data-mining in dynamic environments are scarce. The artificial neural network (ANN) algorithm can solve dynamic condition problems. This paper integrates the CS and ANN algorithm to create the novel (CS-ANN) algorithm that solves pattern-recognition problems and can simply construct manufacturing inspection models for dynamic environments.