The design of a good kernel is fundamental for knowledge discovery from graph-structured data. Existing graph kernels exploit only limited information about the graph structures bu...
This paper reports the first part of a project that aims to develop a knowledge extraction and knowledge discovery system that extracts causal knowledge from textual databases. In...
— Sensor networks pose security and privacy challenges. One challenge is how to bootstrap secure communications among nodes. Several key pre-distribution schemes have been propos...
Inclusion of domain knowledge in a process of knowledge discovery in databases is a complex but very important part of successful knowledge discovery solutions. In real-life data m...
As successful organizations recognize that they need to convert their intellectual resources into customized services, the value of electronic collaboration has increased. Current ...