Tatsuo Tsuji

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Multidimensional arrays storing multidimensional data in MOLAP are usually very sparse. They also suffer from the problem that the time consumed in sequential access to array elements heavily depends on the dimension along which the elements are accessed. This problem of ldquodimension dependencyrdquo would be alleviated by dividing the whole array into the(More)
A new implementation scheme for relational tables in multidimensional databases is proposed and evaluated. The scheme implements a relational table by employing a multidimensional array. Using multidimensional arrays provides many advantages, however suffers from some problems. In our scheme, these problems are solved by an efficient scheme of record(More)
A novel implementation scheme for large scale multidimensional datasets is proposed and evaluated. The scheme implements a multidimensional dataset by employing multidimensional arrays. Using multidimensional arrays provides many advantages, but suffers from some problems. The proposed history offset implementation scheme solves these problems by an(More)
Multidimensional arrays are becoming important data structure for handling large scale multidimensional data; e.g., in scientific databases or MOLAP databases. Due to the increasing size of the data warehouses and high degree of sparsity, it becomes necessity to develop a suitable scheme to compress the multidimensional array in an efficient way so that it(More)