In the last four years, some multidimensional models were defined. Some of these models are focused on query specifications, but only a little has really a conceptual approach. The nex section is an attempt to present some ...

SpatialData Warehouse and Spatial On-Line Analytical Processing are decision support technologies which offer the spatial and multidimensional analysis of data stored in multidimensional structure. They are aimed also at ...

A Data Warehouse (DW) is a database that stores information oriented to satisfy decision-making requests. It ia a database with some particular features concerning the data it contains and its utilisation. The features of ...

Multidimensional projection has become a standard tool for visual analysis of multidimensional data sets, as the 2D representation of multidimensional instances gives an important and informative panorama of the data. ...

This chapter studies estimation and inference methods for multi-dimensional quantile regression panel data models. First, we discuss the fixed effects (FE) model. This model imposes a relatively restrictive asymptotic ...

Field surveys are an important source of data for several scientific studies. Hydrological optics investigations require a large amount of optical data acquired using sensors from distinct manufacturers built with specific ...

Data and text mining applications managing Web data have been the subject of recent research. In every case, data mining tasks need to work on clean, consistent, and integrated data for obtaining the best results. Thus, ...

Compressed Sensing (CS) comprises a set of relatively new techniques that exploit the underlying structure of data sets allowing their reconstruction from compressed versions or incomplete information. CS reconstruction ...