Frequent pattern mining is based on the assumption that users can specify the minimum-support for mining their databases. It has been recognized that...

Sequence data are abundant in application areas such as computational biology, environmental sciences, and telecommunications. Many real-life sequence...

In real-world classification problems, different types of misclassification errors often have asymmetric costs, thus demanding cost-sensitive learning...

Hierarchical binary partitions of multi-dimensional data are investigated as a basis for the construction of effective histograms. Specifically, the i...

This paper focuses on extensions of Abstract State Machines (ASMs) for the benefit of a refinement calculus in the area of data-intensive applications...