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 ...

The ideal scenario to derive the multidimensional conceptual schema of a data warehouse would entail a hybrid approach (i.e. a combined data-driven and requirement-driven approach). Thus, the resulting multidimensional ...

Una de les idees principals del canvi al nou Espai Europeu d'Educació Superior és que les assignatures no es redueixin simplement a un conjunt de classes magistrals, sinó que les classes incorporin activitats d'aprenentatge ...

It is widely accepted today that Relational databases are not appropriate in highly distributed shared-nothing archi- tectures of commodity hardware, that need to handle poorly structured heterogeneous data. ...

Es presenten tres projectes de cooperació universitària al desenvolupament desenvolupats a la UPC amb la col·laboració d'altres actors. Es constata la importància de la ciència i la tecnologia per fer possible el desenvolupament ...

Applications typically communicate with each other, accessing and exposing data and features by using Application Programming Interfaces (APIs). Even though API consumers expect APIs to be steady and well established, APIs ...

Modern organizations typically store their data in a raw format in data lakes. These data are then processed and usually stored under hybrid layouts, because they allow projection and selection operations. Thus, they allow ...

The graph partitioning strategy plays a vital role in the overall execution of an algorithm in a distributed graph processing system. Choosing the best strategy is very challenging, as no one strategy is always the best ...

Data pre-processing plays a key role in a data analytics process (e.g., applying a classification algorithm on a predictive task). It encompasses a broad range of activities that span from correcting errors to selecting ...