Since the late 1970s, relational database technology has been adopted by most
organizations to store their essential data. However, nowadays, the needs of these …

Social platforms, such as Twitter, reveal much about the tastes of the public. Many studies
focus on the content analysis of social platforms, which assists in product promotion and …

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 …

Social business intelligence combines corporate data with user-generated content (UGC) to
make decision-makers aware of the trends perceived from the environment. A key role in the …

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 …

The increasing availability of geo-referenced data has increased the need to enrich OLAP
with spatial analysis, leading to the concept of Spatial OLAP (SOLAP). The conceptual …

In the last few years, the concept of data lake has become trendy for data storage and
analysis. Thus, several approaches have been proposed to build data lake systems …

To systematically analyze large numbers of textual documents, it is often desirable to
manage documents (and their metadata) in a multi-dimensional text database (Text Cube) …

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 …

Extracting top-k keywords and documents using weighting schemes are popular techniques
employed in text mining and machine learning for different analysis and retrieval tasks. The …