Application of covering codes to data embedding improves embedding efficiency and security of steganographic schemes. In this paper, we describe several familes of covering codes c...
The mining of frequent sequential patterns has been a hot and well studied area—under the broad umbrella of research known as KDD (Knowledge Discovery and Data Mining)— for we...
Abstract. Graph mining approaches are extremely popular and effective in molecular databases. The vast majority of these approaches first derive interesting, i.e. frequent, patte...
Tree mining consists in discovering the frequent subtrees from a forest of trees. This problem has many application areas. For instance, a huge volume of data available from the In...
So far, most image mining was based on interactive querying. Although
such querying will remain important in the future, several
applications need image mining at such wide scale...
Luc J. Van Gool, Michael D. Breitenstein, Stephan ...