Multiparadigm communications in Java for grid computing
Communications of the ACM
Data Mining for Web Intelligence
Computer
Spatial Data Mining: A Database Approach
SSD '97 Proceedings of the 5th International Symposium on Advances in Spatial Databases
Discovery net: towards a grid of knowledge discovery
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A grid middleware for distributed Java computing with MPI binding and process migration supports
Journal of Computer Science and Technology - Grid computing
Distributed data mining services leveraging WSRF
Future Generation Computer Systems - Special section: Data mining in grid computing environments
| Hi-index | 0.00 |
The continuous increase of spatial data volumes available from many sources raises new challenges for their effective understanding. Spatial knowledge discovery in spatial data repositories involves processes and activities that are heterogeneous, collaborative, and distributed in nature. The Grid is a profitable infrastructure that can be effectively exploited for handling distributed spatial data mining and knowledge discovery. We design a new architecture of spatial knowledge grid, which is on top of computational grid mechanisms. The spatial knowledge grid is a high-level framework providing Grid-based knowledge discovery tools and services. All of these services are currently being designed and implemented as Grid Services. This paper highlights design aspects and implementation of spatial knowledge grid services.