英文摘要 |
Due to the continuous innovations of information technology, the improvement of computation speed and storage capacity for database systems is impressively significant. The vital bottleneck is currently on the process of accessing data from hard disk to memory. Therefore, a highly efficient way of accessing approach in dealing with the space allocation problem for multi-disk database systems to enhance the effectiveness of parallel processing in order for reducing the time for querying useful data and leveraging the value for operating the holistic system. A vast amount of literature focused on developing the algorithms for improving such a problem, yet these algorithms failed to manipulate enough data for convincing discussions, and the intervention of operators for analyzing associations among data is usually necessary but impractically executable. In this paper, a conceptual idea of data mining is employed to analyzing the triggered records from database systems for associations among data, and thus an as sociation algorithm is developed to derive the optimal space allocation for multi-disk database systems. |