Fine-tuning visual models has been widely shown promising performance on many
downstream visual tasks. With the surprising development of pre-trained visual foundation …

The constant advancements in Information Technology have been the main driver of the Big
Data concept's success. With it, new concepts such as Industry 4.0 and Logistics 4.0 are …

The data-oriented paradigm has proven to be fundamental for the technological
transformation process that characterizes Industry 4.0 (I4. 0) so that big data and analytics is …

Multi-model DBMSs, which support different data models with a fully integrated backend,
have been shown to be beneficial to data warehouses and OLAP systems. Indeed, they can …

Abstract The column-oriented Not Only SQL (NoSQL) model provides for big data the most
suitable model to the data warehouse and the structure of multidimensional data as the …

Driven by the ever-growing of data from social network (SN), data warehouse (DW)
approaches must be adapted. Generally the star, snowflake or constellation models are …

Nowadays, the data used for decision-making come from a wide variety of sources which
are difficult to manage using relational databases. To address this problem, many …

It is widely accepted today that relational systems are not appropriate to handle Big Data.
This has led to a new category of databases commonly known as NoSQL databases that …

In the era of Big Data, many NoSQL databases emerged for the storage and later processing
of vast volumes of data, using data structures that can follow columnar, key-value, document …

Social media have changed the world in the last decade. In fact, the rapid and vast adoption
of these platforms had an impact on human behavior, in particular, and society in general …