This article deals with multidimensional analyses. Analyzed data are designed according to
a conceptual model as a constellation of facts and dimensions, which are composed of multi …

Decision support systems help the decision making process with the use of OLAP (On-Line
Analytical Processing) and data warehouses. These systems allow the analysis of corporate …

In the last decade, OnLine Analytical Processing (OLAP) has taken an increasingly
important role as a research field. Solutions, techniques and tools have been provided for …

For more than a decade, researches on OLAP and multidimensional databases have
generated methodologies, tools and resource management systems for the analysis of …

As the amount of data grows very fast inside and outside of an enterprise, it is getting
important to seamlessly analyze both of them for getting total business intelligence. The data …

Most of modern enterprises, institutions, and organizations rely on knowledge-based
management systems. In these systems, knowledge is gained from data analysis …

The traditional data warehousing approaches should adapt to take into consideration novel
needs and data structures. In this context, NoSQL technology is progressively gaining a …

In the recent year, social networks have revolutionized the ways of interacting and
exchanging information on the Internet. Millions of users interact frequently and share variety …

Data warehousing and OLAP are mainly used for the analysis of transactional data.
Nowadays, with the evolution of Internet, and the development of semi-structured data …

Text mining approaches are commonly used to discover relevant information and
relationships in huge amounts of text data. The term data mining refers to methods for …