Association rules are commonly used to provide decision‐makers with knowledge that helps
them to make good decisions. Most of the published proposals mine association rules …

Analyzing sequence data usually leads to the discovery of interesting patterns and then
anomaly detection. In recent years, numerous frameworks and methods have been …

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 …

Mining frequent sequences in sequential databases are highly valuable for many real-life
applications. However, in several cases, especially when databases are huge and when low …

One of the most important problems that occur when mining positive and negative
association rules (PNARs) is that the number of mined PNARs is usually large, which …

Mining sequential rules from a sequence database usually returns a set of rules with great
cardinality. However, in real world applications, the end-users are often interested in a …

Events prediction in a sequence of events is a challenging task that can be approached with
data mining. In this paper, we focus on the specific case of early prediction of distant events …

This textbook is a complete, up-to-date, and highly illustrated account of Structural Geology
for students and professionals, and includes fundamentals of the subject with field and …

Nowadays, learning activities at universities in Vietnam are mostly in the form of credit-
based mode. That is, to graduate students have to complete the subjects specified in the …

The concise representations of sequential patterns, including maximal sequential patterns,
closed sequential patterns and sequential generator patterns, play an important role in data …