This paper presents 7DS, a novel peer-to-peer data sharing system. 7DS is an architecture, a set of protocols and an implementation enabling the exchange of data among peers that ...
Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
Unlike numerical preferences, preferences on attribute values do not show an inherent total order, but skyline computation has to rely on partial orderings explicitly stated by th...
Tracking and tracing individual items is a new and emerging trend in many industries. Driven by maturing technologies such as Radio-Frequency Identification (RFID) and upcoming s...
Rakesh Agrawal, Alvin Cheung, Karin Kailing, Stefa...
Relevance feedback (RF) has been extensively studied in the content-based image retrieval community. However, no commercial Web image search engines support RF because of scalabil...