Local Outlier Mining Algorithm for Large Scale High Dimensional Data Set

This paper proposes a mining algorithm of large scale and high dimensional data based on FFD local concentration of abnormal data. The FFD was first applied in mining, by referencing the wireless transmission technology, the proposed method is the aim for the realization of the working class and the task level, in order to improve the anti-jamming ability of local abnormal data. The data exchange method based on robust control ability of FFD wireless transmission technology and the data mining process, followed by local mining and using FIFO mining method and the mining process and the objective function of the key The experimental results show that the proposed method has strong reliability, high mining efficiency and large amount of mining tasks.