Category cluster discovery from distributed WWW directories

Distributed computing model for processing remotely sensed images based on grid computing

“…1, one can easily use the shared services of the grid-computing system when completing tasks. A characteristic of grid computing is that it combines the advantages of both parallel and distributed computing in network-computing procedures [2,6,27]. It also provides a global resources-sharing mechanism for data management and computing via its service registry/discovery mechanism.…”

Architecture design of grid GIS and its applications on image processing based on LAN*1

“…A main characteristic of grid computing environment is that a user may connect the grid computing system through internet, and the grid computing system can provide all kinds of services for the user. Ian Foster suggests that there are three definite characteristics of grid computing [7,17]: (1) it should coordinate computing resources and users that exist within a variety of control domains, which differs markedly from a local-area network. (2) It must coordinate such resources with ''standard, open, general-purpose protocols and interfaces''.…”

“…At the same time, the data we obtained from RS, GPS and so on become more tremendous and the problems we need to process become more complicated, and these problems always involve a great deal of data transfer on the internet. So it has become an important task of GIS field [1] to discover information and knowledge from different sources and to find a method of knowledge integration. ''Digital Earth'' strategy tries to solve this problem by describing everything relative to geographic position in digital form and store those data into computers, and then provide services for the users through data sharing [4].…”

Temporal analysis of clusters of supermarket customers: conventional versus interval set approach

“…Such dynamics can be revealed through temporal data mining. Much of the early temporal data mining tasks were related to the use and analysis of temporal sequences of raw data [1,2,4,15,17,[28][29][30]33,34,37,38]. There is a growing body of recent work that analyzes the results of data mining over a period of time [6][7][8]11,32,35,36].…”