An important issue arising from large scale data integration is how to efficiently select the top-K ranking answers from multiple sources while minimizing the transmission cost. T...
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
— In this paper, we introduce a search engine, Dgoogle, designed for large scale P2P systems. Dgoogle is purely text-based, does not organize documents based on pre-defined keyw...
The aim of this paper is to develop a mathematical model with the ability to predict particle degradation during dilute phase pneumatic conveying. A numerical procedure, based on a...
Pierre Chapelle, Nicholas Christakis, Hadi Abou-Ch...
Cartography is one of the major application areas using geographical databases. Whether it is for the business of producing paper maps for sale, or whether it is for displaying map...