What is Categorical Data?
On datanami, thatDot founder and CEO Ryan Wright helps define the nature of categorical data. This essential data type makes up about three quarters of all data an…
On datanami, thatDot founder and CEO Ryan Wright helps define the nature of categorical data. This essential data type makes up about three quarters of all data an…
Quine 1.5 includes support for graph neural network techniques like Node2Vec and GraphSAGE. This post provides an overview and tutorial.
Categorical data is an oft-ignored source of valuable business intelligence. Quine makes it easy to process categorical data with your existing ETL pipeline.
Learn how Meroxa's Turbine makes it easy to connect data sources to Novelty Detector to create real-time anomaly detection with categorical data.
Categorical data is enormously useful but often discarded because, unlike numerical data, there were few tools available to work with it until graph DBs and streaming graph came along.
The distributed nature of modern virtualized software architectures has created added complexity in the networking stack, making it difficult to attribute behavior to any single service.
This blog on AWS data exfiltration detection explains the use of categorical data in anomaly detection to identify multi-stage exploit campaigns in AWS CloudTrail logs.
Data comes in two flavors: Numeric and Categorical. Numeric data is easy, it’s numbers. Categorical data is everything else.