This paper addresses the inference problem in on-line analytical processing (OLAP) systems. The inference problem occurs when the exact values of sensitive attributes can be determined through answers to OLAP queries. Most existing inference control methods are computationally expensive for OLAP systems, because they ignore the special structures of OLAP queries. By exploiting such structures, ...

A novel approach to perform trajectory and aerothermodynamic analysis using the state-of-theart OLAP multi-dimensional database technology will be presented in this publication. An Online Analytical Processing (OLAP) Database Management System integrated to a trajectory code has been developed. The database contains a list of planetary probe architectures and includes vehicle dimensions, trajec...

A UML Framework for OLAP Conceptual Modeling Amani Jamal Data warehouses are used by organizations around the world to store huge volumes of historical data. Ultimately, the purpose of the warehouse is to allow decision makers to assess both the history and, more importantly, the future of the organization. In practice, the capacity to make meaningful decisions is further supported through the ...

Decision support systems are important in leveraging information present in data warehouses in businesses like banking, insurance, retail and health-care among many others. The multi-dimensional aspects of a business can be naturally expressed using a multi-dimensional data model. Data analysis and data mining on these warehouses pose new challenges for traditional database systems. OLAP and da...

On-Line Analytical Processing (OLAP) is a powerful method for analysing large warehouse data. Typically, the data for an OLAP database is collected from a set of data repositories such as e.g. operational databases. This data set is often huge, and it may not be known in advance what data are required and when to perform the desired data analysis tasks. Sometimes it may happen that some parts o...

On-line analytical processing (OLAP) has gained its popularity in database industry. With a huge amount of data stored in spatial databases and the introduction of spatial components to many relational or object-relational databases, it is important to study the methods for spatial data warehousing and on-line analytical processing of spatial data. This thesis investigates methods for spatial O...

On-line analytical processing (OLAP) queries are strongly affected by the amount data needed to be accessed from the disk. Therefore, there is a need to employ techniques that can facilitate efficient execution of these queries. There has been a lot of work to optimize the performance of relational data warehouses. Among the two fragmentation techniques, vertical fragmentation is often consider...

Les systèmes OLAP (On-Line Analytical Processing) permettent l’analyse de grands volumes de données issues des systèmes transactionnels de l’entreprise. Ils reposent le plus souvent sur des bases de données multidimensionnelles (BDM) qui organisent les données en sujets d’analyse appelés faits, et axes d’analyse appelés dimensions. L’analyse en ligne OLAP consiste à explorer intuitivement les B...

There is currently a debate among OLAP vendors on the best way to provide OLAP functionality: Relational OLAP (ROLAP) vendors advocate using sophisticated front ends to provide a multidimensional view of a standard relational database, whereas Multidimensional OLAP (MOLAP) vendors provide custom servers that generally store their data as arrays (instead of tables.) An important question in this...

Most queries involved with Online Analytical Processing (OLAP) depend on the functionality of aggregating data along the multidimensional hierarchies of an OLAP cube. In real-time OLAP, aggregated data for interactive operations e.g. roll-up and drill-down is computed on-the-fly. Fast response times are essential and can be accelerated significantly through data-parallel computation on graphics...