The problem of mining frequent sequential patterns (FSPs) has attracted a great deal of
research attention. Although there are many efficient algorithms for mining FSPs, the mining …

The problem of exploiting Closed Sequential Patterns (CSPs) is an essential task in data
mining, with many different applications. It is used to resolve the situations of huge …

Sequence mining algorithms attempt to mine all possible frequent sequences. These
algorithms produce redundant results, increasing the required storage space and runtime …

Mining frequent sequences is a critical stage before rule generation for sequence
databases. Currently, there are two main ways for mining frequent sequences, namely intra …

Most algorithms for mining sequential rules focus on generating all sequential rules. These
algorithms produce an enormous number of redundant rules, making mining inefficient in …

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

The data mining techniques help discover hidden knowledge from a huge database. In the
pattern mining field, the main goal is to discover interesting patterns in large databases. The …

Sequential rule mining is an important data mining technique that discovers relationships
between occurrences of sequential patterns. The main challenge is to avoid time …

Mining closed sequential patterns is one of important tasks in data mining. It is proposed to
resolve difficult problems in mining sequential pattern such as mining long frequent …

The COVID-19 (Coronavirus) is a catastrophic disease, as it causes a global health crisis.
Due to the nature of COVID-19, it spreads quickly among humans and infects millions of …