We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
Research in relational data mining has two major directions: finding global models of a relational database and the discovery of local relational patterns within a database. While...
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Abstract. In knowledge bases, the open world assumption and the ability to express variables may lead to an answer redundancy problem. This problem occurs when the returned answers...