Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...
Software distributed shared memory (DSM) techniques, while effective on applications with coarse-grained sharing, yield poor performance for the fine-grained sharing encountered i...
Abstract. We describe an approach for the verification of quantitative temporal properties of SDL specifications, which adapts techniques developed for timed automata [2]. With res...
This paper proposes an effective approach to provide relevant search terms for conceptual Web search. ‘Semantic Term Suggestion’ function has been included so that users can f...
Top-k approximate querying on string collections is an important data analysis tool for many applications, and it has been exhaustively studied. However, the scale of the problem ...