An automated framework for code and data partitioning for the needs of data management is presented. The goal is to identify the main data types from the data management perspectiv...
Ambient Intelligence (AmI) is a vision of future Information Society, where people are surrounded by an electronic environment which is sensitive to their needs, personalized to th...
Abstract. Peer-to-Peer (P2P) data management systems combine traditional schema-based integration techniques with the P2P infrastructure. In this paper, we propose a P2P data manag...
Scientific applications require sophisticated data management capabilities. We present the design and implementation of a Data Replication Service (DRS), one of a planned set of h...
Ann L. Chervenak, Robert Schuler, Carl Kesselman, ...
Data mining and machine learning must confront the problem of pattern maintenance because data updating is a fundamental operation in data management. Most existing data-mining alg...
As Consumer Electronics devices get interconnected, the issue of aligning their data management solutions becomes prominent. If we want to deploy comprehensive applications that ar...
As privacy becomes a major concern for both consumers and enterprises, many research efforts have been devoted to the development of privacy protecting technology. We recently pr...
We propose a distributed data management scheme for large data visualization that emphasizes efficient data sharing and access. To minimize data access time and support users wit...
Jinzhu Gao, Jian Huang, C. Ryan Johnson, Scott Atc...
The emerging paradigms of service oriented architectures and utility-based computing have the potential to greatly reduce the cost of data management. Data management service prov...
Geoscience studies produce data from various observations, experiments, and simulations at an enormous rate. With proliferation of applications and data formats, the geoscience re...