Our study of a large set of scientific applications over the past three years indicates that the processing for multidimensional datasets is often highly stylized. The basic proce...
Chialin Chang, Renato Ferreira, Alan Sussman, Joel...
Efficient storage and retrieval of large multidimensional datasets is an important concernfor large-scale scientific computations such as long-running time-dependent simulations w...
E cient storage and retrieval of multi-attribute datasets have become one of the essential requirements for many data-intensive applications. The Cartesian product le has been kno...
In this paper, we propose a new metric index, called M+ -tree, which is a tree dynamically organized for large datasets in metric spaces. The proposed M+ -tree takes full advantag...
Data mining applications analyze large collections of set data and high dimensional categorical data. Search on these data types is not restricted to the classic problems of minin...