Analyzing customer transactions to discover high-utility itemsets is a popular task, which
consists of finding the sets of items that are purchased together and yield a high profit …

Sequential pattern mining (SPM) plays an important role in data mining, with broad
applications such as in financial markets, education, medicine, and prediction. Although …

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 …

Mining frequent closed sequential pattern (FCSPs) has attracted a great deal of research
attention, because it is an important task in sequences mining. In recently, many studies …

Software specification mining has been studied by many researchers. Among them, Non-
Redundant Recurrent Rules Miner (NR 3), proposed by Lo et al., mines recurrent rules. A …

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 …