Intelligence, Data Warehouse and OLAP have been widely used to identify, collect, process,
integrate and analyze information for decision making, thus promoting business …

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 …

Abstract Data Warehouses and OLAP (On Line Analytical Processing) technologies are
dedicated to analyzing structured data issued from organizations' OLTP (On Line …

In this paper, we present a mixed approach for building XML data warehouses from both
XML data sources and user requirements. Our proposed approach aims at obtaining a …

At the crossing of disciplines as Information Systems, Management, Decision Support
Systems, Data Mining, and Data Visualization, Business Intelligence (BI) is understood in …

As information becomes increasingly sizable for organizations to maintain the challenge of
organizing data still remains. More importantly, the on-going process of analysing incoming …

XML–the Extensible Markup Language has recently emerged as a standard for information
representation and exchange on the internet, because of its portability, versatility and …

This paper describes an effective solution for recommending textual OLAP over data
warehousing environments. The recommendation process is based on text semantics and …

NoSQL (Not only SQL) gathers recent solutions that differ from the SQL model by a different
logic of data representation. It is characterized by its performance and its ability to handle a …

The Diamond model is a multidimensional model dedicated to XML document warehouses.
It considers structured and unstructured data simultaneously. Furthermore, it orders the …