Discovering significant relaxed order-preserving submatrices
Qiong Fang, Wilfred Ng, Jianlin Feng · 2010
Mining order-preserving submatrix (OPSM) patterns has received much attention from researchers, since in many scientific applications, such as those involving gene expression data, it is natural to express the data in a matrix and also important to find the order-preserving submatrix patterns. However, most current work assumes the noise-free OPSM model and thus is not practical in many real situations when sample contamination exists.