Discovering unexpected and useful patterns in databases is a fundamental data mining task.
In recent years, a trend in data mining has been to design algorithms for discovering …

Data Mining in general is the act of extracting interesting patterns and discovering non-trivial
knowledge from a large amount of data. Medical data mining can be used to understand the …

Sequential pattern mining (SPM) is an important technique in the field of pattern mining,
which has many applications in reality. Although many efficient SPM algorithms have been …

The lack of security in today's in-vehicle network make connected vehicles vulnerable to
many types of cyber-attacks. Replay-based injection attacks are one of the easiest type of …

Because of the inefficiency in analyzing the comprehensive travel data, tourism managers
are facing the challenge of gaining insights into travelers' behavior and preferences. In most …

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 …

Because of the important applications in today's world such as, users behavior in buying,
mining web page traversal sequences or disease treatments, many algorithms have been …

Decision trees are simple, yet powerful, classification models used to classify categorical
and numerical data, and, despite their simplicity, they are commonly used in operations …

Sequential pattern mining is an important task in data mining. Its subproblem, clickstream
pattern mining, is starting to attract more research due to the growth of the Internet and the …

In high-stakes systems such as healthcare, it is critical to understand the causal reasons
behind unusual events, such as sudden changes in patient's health. Unveiling the causal …