Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
The critical functionality of many software applications relies on code that performs mathematically complex computations. However, such code is often difficult to test owing to t...
Relational database management systems are constantly being extended and augmented to accommodate data in different domains. Recently, with the increasing use of ontology in vario...
The paper presents a software visualization application-framework that utilizes a variety of 3D metaphors to represent large software system and related analysis data. The 3D repr...
Recently many data types arising from data mining and Web search applications can be modeled as bipartite graphs. Examples include queries and URLs in query logs, and authors and ...