Today’s distributed data processing systems typically follow a query shipping approach and exploit data locality for reducing network traffic. In such systems the distribution of data over the cluster resources plays a ...

The high-dimensionality of Big Data poses challenges in data understanding and visualization. Furthermore, it leads to lengthy model building times in data analysis and poor generalization for machine learning models. ...

A Web API (WAPI) is a type of API whose interaction with its consumers is done through the Internet. While being accessed through the Internet can be challenging, mostly when WAPIs evolve, it gives providers the possibility ...

This paper is devoted to Secure Data Warehousing architecture and its data schemas. We relate a federated databases architecture to Data Warehouse schemas, which allows us to provide better understanding to the characteristics ...

Data warehouse (DW) design is based on a set of requirements expressed as service level agreements (SLAs) and business level objects (BLOs). Populating a DW system from a set of information sources is realized with ...

A data mining algorithm may perform differently on datasets with different characteristics, e.g., it might perform better on a dataset with continuous attributes rather than with categorical attributes, or the other way ...

Data-intensive flows deploy a variety of complex data transformations to build information pipelines from data sources to different end users. As data are processed, these workflows generate large intermediate results, ...

Una de les conseqüències dels canvis aplicats recentment als plans d’estudis de la UPC per adaptar-los al EEES, és la necessitat d’optimitzar el temps a dedicar a activitats d’aprenentatg que requereixen la participació ...

Data Lakes (DLs) are large repositories of raw datasets from disparate sources. As more datasets are ingested into a DL, there is an increasing need for efficient techniques to profile them and to detect the relationships ...

Algunas herramientas de autocorrección existen ya en el ámbito de la docencia informática. No obstante en asignaturas de bases de datos el problema es especialmente complejo debido a la gran variedad de tipos de ...