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 …

With the growing popularity of shared resources, large volumes of complex data of different
types are collected automatically. Traditional data mining algorithms generally have …

Sequential pattern mining (SPM) has been applied in many fields. However, traditional SPM
neglects the pattern repetition in sequence. To solve this problem, gap constraint SPM was …

Nonoverlapping sequential pattern mining (SPM) is a data analysis task, which aims at
identifying repetitive sequential patterns with gap constraint in a set of discrete sequences …

Malware pose a serious threat to the computers of individuals, enterprises and other
organizations. In the Windows operating system (OS), Application Programming Interface …

In recent decades, the bioinformatics, biology and biotechnology plays a major role in
accumulation of numerous biomedical data, which offers an in-depth analysis. On other …

Robotic Process Automation (RPA) is a technology to develop software bots that automate
repetitive sequences of interactions between users and software applications (aka routines) …

Negative sequential patterns (NSPs) produced by negative sequence analysis (NSA)
capture more informative and actionable knowledge than classic positive sequential …

Negative sequential pattern mining (SPM) is an important SPM research topic. Unlike
positive SPM, negative SPM can discover events that should have occurred but have not …

In recent years, sequential pattern mining (SPM) has been applied in many domains,
including recommender systems, fraud detection, and other related industries. Target …