Interactive three-dimensional visualisation represents a significant evolution in scientific publishing, offering researchers and readers an immersive and dynamic approach to data representation. This ...

According to renowned AT&T Bell Telephone Laboratories statistician John Tukey, “data may not contain the answer. The coordination of some data and an aching desire for an answer will not ensure that ...

The paper reports on conceptual development in the areas of database mining and knowledge discovery in databases (KDD). Our efforts have also led to a prototype implementation, called MOTC, for ...

Over the last couple of decades, large multi-dimensional databases have become ubiquitous in a vast array of application areas, such as corporate data warehouses as well as projects in scientific ...

When well designed, visual displays of data capitalize on human facilities for processing information and improve comprehension, memory, inference, and decision making. Creating visualizations is ...

On this second episode of Ropes & Gray’s Insights Lab’s four-part Multidimensional Data Reversion podcast series, Shannon Capone Kirk, managing principal and global head of Ropes & Gray’s advanced ...

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and visualization. Medicare users could soon lose perks they love — like choosing their ...