Sequential Pattern Mining

Sequential Pattern Mining is a data mining technique that focuses on discovering related patterns in the sequence of values within data samples. The process aims to identify patterns that are significantly associated in time or order, thereby revealing potential rules and trends in the data. In the field of natural language processing, mining sequential patterns from text data can enhance the understanding of language structure and semantics, further optimizing applications such as information retrieval and sentiment analysis.