One of the key challenges of big data is taking the enormous amounts of information and turning it into something useful that can be consumed and ingested by the human brain. This week, ...

Over the past decades, the proliferation of digital technologies has led to the large-scale production and collection of data from a wide variety of sources ...

The growing volume and complexity of omics data have created a need for standardized and user-friendly analysis approaches. Workshops and sessions on R-based data processing have become highly ...

The t-SNE ("t-distributed Stochastic Neighbor Embedding") technique is a method for visualizing high-dimensional data. The basic t-SNE technique is very specific: It converts data with three or more ...

WEST LAFAYETTE, Ind. – Heat maps or points on a map can be simple and typically effective ways to visualize spatial data sets. But when that data involves many different types of objects – such as ...

Data visualisation and analysis techniques serve as the cornerstone for interpreting complex datasets across diverse scientific fields. These methods enable researchers to translate quantitative and ...

At the core of digital transformation lies data democratization, the practice of making data accessible throughout all departments of a business, not simply the C-suite and IT team. Datasets are ...

Network security has operated in the realm of configuration files, pull-down menus, and traffic traces, making it arcane and tricky to tackle. In many instances, graphical presentation of information ...

The Purdue visualization technique simplifies points on a map into boundaries with various segment widths, making spatial distributions of a large number of objects in different groups or over time ...