We give a new view on building content clusters from page pair models. We measure the heuristic importance within every two pages by computing the distance of their accessed positi...
Feature selection has proven to be a valuable technique in supervised learning for improving predictive accuracy while reducing the number of attributes considered in a task. We i...
In this paper, a bottom-up hierarchical genetic algorithm is proposed to visualize clustered data into a planar graph. To achieve global optimization by accelerating local optimiz...
This paper presents a solution to check referential integrity constraints and conjunctive global constraints in a relational multi database system. It also presents the experiment...
Comparing with the rapidly increasing acquiring technology for remotely sensed data, the data processing technologies have been following behind, especially in computing speed and ...