University of Maryland 16.

A powerful, easy-to-use querying environment is without doubt one of the most important components in a multidimensional database. Its effectiveness is influenced by many aspects, both logical (data model, integration, policy of view materialization, etc.) and physical (multidimensional or relational storage, indexes, etc.). Multidimensional querying is often based on the core concepts of multi...

Copyright © 2003, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. ABSTRACT Data cubes are ubiquitous tools in data warehousing, online analytical processing, and decision support applications. Based on a selection of precomputed and materialized aggregate values, they can dramatically speed up aggregation and summ...

We introduce the GeWare data warehouse approach for microarray-based gene expression analysis. GeWare centrally stores raw and preprocessed expression data together with a variety of annotations to support different analysis forms. The flexibility of GeWare is made possible by a multidimensional data model where expression data is stored in several fact tables which are associated with multiple...

Reducing income inequality is one of the primary objectives economic policies. Even if macroeconomic indicators such as growth, foreign trade, inflation, employment have improved in certain periods, regardless model applied and level development, at global level, aside from decreasing, continues to be a political, social, demographic, ethical problem. Because this importance inequality, it grea...

Multidimensional hierarchical (mTree) data are very common in daily life and scientific research. However, mTree exploration is a laborious time-consuming process due to its structural complexity large dimension combination space. To address this problem, we present mTreeIllustrator, mixed-initiative framework for exploratory analysis of multidimensional with faceted visualizations. First, prop...