Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Searching and mining large graphs today is critical to a variety of application domains, ranging from personalized recommendation in social networks, to searches for functional ass...
Multidimensional discrete data (MDD), i.e., arrays of arbitrary size, dimension, and base type, are receiving growing attention among the database community. MDD occur in a variet...
Peter Baumann, Paula Furtado, Roland Ritsch, Norbe...
The access patterns of the users of a web-site are traditionally analyzed in order to facilitate the user access to the site's information. In this study, however, a systemat...
Amir M. Zarkesh, Jafar Adibi, Cyrus Shahabi, Reza ...
Abstract. We propose an approach to subgroup discovery using distribution rules (a kind of association rules with a probability distribution on the consequent) for numerical proper...