Multidimensional modeling requires specialized design techniques. Though a lot has been
written about how a data warehouse should be designed, there is no consensus on a design …

Due to the sensitive data contained in Data Warehouses (DW), it is essential to specify
security measures from the early stages of the DW design and enforce them. Traditional …

Data Warehouses (DWs), Multidimensional (MD) Databases, and On-Line Analytical
Processing Applications are used as a very powerful mechanism for discovering crucial …

A blind symbol estimation technique for digital communications is developed by exploiting
special data structure of the oversampled channel output. The proposed method achieves …

At present, it is very difficult to develop a methodology that fulfills all criteria and comprises
all security constraints in the successful design of data warehouses. If that methodology …

We present a new approach for the elicitation and development security requirements in the
entire Data Warehouse (DWs) life cycle, which we have called a Secure Engineering …

Many Data Warehouses (DWs) fail to provide the appropriate information because the users'
requirements are not correctly modeled. In addition, the security requirements are …

Data Warehouses (DWs) are widely accepted as the core of current decision support
systems. Therefore, it is vital to incorporate security requirements from the early stages of the …

Abstract Data Warehouses (DW), Multidimensional (MD) databases, and On-Line Analytical
Processing (OLAP) applications provide companies with many years of historical information …

Business intelligence (BI) is a critical software system employed by the higher management
of organizations for presenting business performance reports through Online Analytical …