Order-preserving sequence rule mining method

The invention relates to an order-preserving sequence rule mining method, which comprises the following steps of: obtaining all frequent order-preserving sequence modes corresponding to a time sequence, forming a frequent order-preserving sequence mode set, setting a minimum confidence coefficient threshold value minconf, and calculating a prefix sub-mode x of a frequent order-preserving sequence mode y, if the relative sequence of the prefix sub-modes is a frequent order-preserving sequence mode, obtaining an order-preserving sequence rule x = gt; y, iterating the process to obtain all order-preserving sequence rules; according to conf (x = gt; y) = sup (y)/sup (x), and x = gt is calculated; and finally, adding the order-preserving sequence rules of which the confidence is greater than or equal to a set minimum confidence threshold value minconf into the rule set R, calling the order-preserving sequence rules of which the confidence is less than minconf as strong order-preserving sequence rules, and calling