Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

Neo4j for Graph Data Science was conceived for this purpose, to improve the predictive accuracy of machine learning, or answer previously unanswerable analytics questions, using the relationships ...

Katie Roberts, PhD, data science solution architect at Neo4j, joined DBTA's webinar, 'Solving Data Challenges with Knowledge Graphs and Context-Aware Recommendation Systems,' to explore how building ...

The search for those higher-dimensional structures is where the math turns especially murky—and interesting. The higher-order analogue of a graph, for example, is called a hypergraph, and ...

Key Points A multi-vari chart is a visual means of seeing multiple variations across a single data set. It is not a ...

And because bar graphs are everywhere, psychologists from Wellesley College wanted to determine how well people can actually read and interpret bar graphs. You know where this is headed. Turns out one ...

In data set 4, almost everybody sleeps exactly eight hours per day, and their sleep habits have no correlation to how much they exercise, whereas one person in the sample sleeps almost 20 hours a ...

Digital Science has completed the acquisition of metaphacts, which has become the newest member of the Digital Science family. Based in Germany, metaphacts is a knowledge graph and decision ...