Today's Internet Services are undergoing fundamental changes and shifting to an intelligent
computing era where AI is widely employed to augment services. In this context, many …

The availability of structured data has increased significantly over the past decade and
several approaches to learn from structured data have been proposed. These logic-based …

Collecting, analyzing and gaining insight from large volumes of data is now the norm in an
ever increasing number of industries. Data analytics techniques, such as machine learning …

We introduce a generator for data containing subspace clusters which is accurately tunable
and adjustable to the needs of developers. It is online available and allows to give a …

With tremendous growing interests in Big Data, the performance improvement of Big Data
systems becomes more and more important. Among many steps, the first one is to analyze …

This dissertation researched topics in the financial analysis of publicly traded companies.
The opportunity for this dissertation was to address the potential of increasing value for …

This paper proposes three different data generators, tailored to transactional datasets,
based on existing itemset-based generative models. All these generators are intuitive and …

Driven by the increasing industrial data over decades, big data systems have evolved
rapidly. The diversity and complexity of industrial applications raise great challenge for …

The amount of data produced, either in the scientific community and the commercial world, is
constantly growing. The field of Big Data has emerged to handle a large amount of data on …

The main contribution of the thesis is in helping to understand which software system
parameters mostly affect the performance of Big Data Platforms under realistic workloads. In …