In this paper, we investigate Co-location Pattern Mining (CPM) from big spatial datasets.
CPM consists in searching for types of objects that are frequently located together in a …

Nowadays, we can observe increasing interest in processing and exploration of time series.
Growing volumes of data and needs of efficient processing pushed research in new …

Traversing huge graphs is a crucial part of many real-world problems, including graph
databases. We show how to apply Fixed Length lightweight compression method for …

Nowadays, we can observe increasing interest in processing and exploration of time series.
Growing volumes of data and needs of efficient processing pushed research in new …

In recent years, an increased interest in processing and exploration of time-series has been
observed. Due to the growing volumes of data, extensive studies have been conducted in …

Limitations of I/O bandwidth and latency are a serious burden for many data intensive
algorithms. This is even more noticeable in distributed heterogeneous clusters that heavily …

Graphics Processing Units (GPU) have significantly more applications than just rendering
images. They are also used in general-purpose computing to solve problems that can …

With an increasingly large amount of data being collected in numerous application areas,
the importance of online analytical processing (OLAP) workloads increases constantly …

Graphics Processing Units (GPU) have significantly more applications than just rendering
images. They are also used in general-purpose computing to solve problems that can …

W ostatnich latach przetwarzanie i badanie szeregów czasowych zyskało spore
zainteresowanie. Rosnące ilości danych i potrzeba ich sprawnego przetwarzania nadały …