Mining sequential patterns is used to discover all the frequent sequences in a sequence
database. However, the mining may return a huge number of patterns, while the users are …

Nowadays, raw data is rarely used directly. In real world applications, data is often
processed, and the necessary knowledge extracted, depending on the purpose of the user …

Mining inter-sequence patterns represents a relatively novel research direction, yielding
significant contributions to the field of data mining research since its inception. Its versatile …

Mining sequential generator patterns and mining closed sequential patterns are important to
sequence mining. They address difficulties in the mining of sequential patterns by reducing …

Data mining has become increasingly important in the Internet era. The problem of mining
inter-sequence pattern is a sub-task in data mining with several algorithms in the recent …

Frequent intra-sequence pattern mining and inter-sequence pattern mining are both
important ways of association rule mining for different applications. However, most …

Frequent pattern mining can well extract insight from transaction patterns, and it is a desired
capability for fully understanding the customer's purchase behavior. However, most of the …

The explosive growth of data and the rapid progress of technology have led to a huge
amount of data that is collected every day. In that data volume contains much valuable …