Probabilistic graphs and uncertain data analysis represent a rapidly evolving research domain that seeks to reconcile the inherent imprecision of real-world data with robust computational models. By ...

Log-in to bookmark & organize content - it's free! Using examples, journalist Alberto Cairo talked about ways that data, charts and visualization are represented and interpreted. He discussed ...

Graph technology has become a requirement for the modern enterprise. Companies in virtually every industry, from healthcare to energy to financial services, are applying the power of graph analytics ...

A new open-source library by Nvidia could be the secret ingredient to advancing analytics and making graph databases faster. The key: parallel processing on Nvidia GPUs. Nvidia has long ago stopped ...

Thanks to their visual simplicity, bar graphs are popular tools for representing data. But do we really understand how to read them? New research from Wellesley College published in the Journal of ...

Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out. Novice data scientists sometimes have ...

REDWOOD CITY, Calif. & VENLO, the Netherlands--(BUSINESS WIRE)--QIAGEN (NYSE: QGEN, Frankfurt Prime Standard: QIA) today announced the launch of Ingenuity Pathway Analysis (IPA) Interpret, a new ...

How would you feel if you saw demand for your favorite topic — which also happens to be your line of business — grow 1,000% in just two years’ time? Vindicated, overjoyed, and a bit overstretched in ...

Microsoft Excel lets you store and manipulate data for business or personal purposes. The tools within Excel give you the ability to interpret data sets, similar to the kinds of interpretation you ...