This short paper is aimed to discuss the challenges for location-based services and proposes our framework, which makes it possible to obtain information from heterogeneous sources...
— We propose a novel approach to reducing energy consumption in sensor networks using a distributed adaptive signal processing framework and efficient algorithm 1 . While the to...
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
Data integration in medical applications is a crucial and sensitive task. It turns out that there are rigid factors like heterogeneous, distributed data sources, security, and comp...
Data cubes for OLAP (Online Analytical Processing) often need to be constructed from data located in several distributed and autonomous information sources. Such a data integratio...