We present a new generative model for relational data in which relations between objects can have either a binding or a separating effect. For example, in a group of students sep...
In this paper, we first present an Object Composition Petri Nets (OCPN) based model methodology for describing the dynamic behaviour of the multiple video objects and user interac...
In implementations of non-standard database systems, large objects are often embedded within an aggregate of different types, i.e. a tuple. For a given size and access probabilit...
As information networks become ubiquitous, extracting knowledge from information networks has become an important task. Both ranking and clustering can provide overall views on in...
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...