A common technique used to minimize I/O in data intensive applications is data declustering over parallel servers. This technique involves distributing data among several disks so...
Hakan Ferhatosmanoglu, Ali Saman Tosun, Guadalupe ...
With the increasing occurrence of temporal and spatial data in present-day database applications, the interval data type is adopted by more and more database systems. For an effic...
Providing scalable database services is an essential requirement for extending many existing applications of the Cloud platform. Due to the diversity of applications, database ser...
Jinbao Wang, Sai Wu, Hong Gao, Jianzhong Li, Beng ...
Data Warehouse (DW), On-Line Analytical Processing (OLAP) and Geographical Information System (GIS) are tools for providing decision-making support. Much research is aimed at inte...
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...