Classifier chain local detection and mining algorithm

The invention discloses a classifier chain local detection and mining algorithm, and the algorithm comprises the steps: optimizing a classifier chain, used for solving a big-data flow mining problem, through employing a local learning algorithm, and simulating a learning problem of the classifier chain through employing a multi-user multi-arm problem with finite feedback. The proposed algorithm employs a cooperative and distributed method for learning, so the algorithm can select an optimal classification structure and learns the effect of a classifier in real time. The data processing process just needs one path: a data set, thereby enabling the processing delay and the internal memory demands of the processor to be minimized. In addition, the proposed algorithm does not need to employ a learning process of a central unit in the distributed classifier for operation cooperation, so the algorithm reduces the demands of exchange between various types of classifiers. Meanwhile, the proposed algorithm carries out