Data analysis method and system based on weighted positive and negative sequence pattern

The invention discloses a data analysis method and a data analysis system based on weighted positive and negative sequence patterns, belonging to the field of computer data mining, which solves the problem that how to provide a data analysis method which is simple in mining process, short in time consumption and capable of realizing the distribution of weight values according to the importance ofan itemset. The method includes mining weighted frequent positive sequence patterns based on join operation and pruning operation in GSP algorithm under the condition that weighted support degree is greater than the set minimum support degree. Based on 1-length positive sequence patterns, generating corresponding negative sequence seed sets, and generating candidate negative sequence patterns by linking; The weighted frequent negative sequence patterns are mined under the pruning condition that the weighted support degree is greater than the set minimum support degree. The system includes positive sequence mining modu