With the widespread application of computer network technology, diverse anonymous cyber crimes begin to appear in the online community. The anonymous nature of online-information distribution makes writeprint identification a critical forensic problem. But the difficulty of the task is the huge number of features in even a moderate-sized available text corpus, which causes the problem of over-training. In this paper, we proposed a novel random subspace method by constructing a set of stable classifiers to take advantage of nearly all the discriminative information in the high dimensional featu...
