LinkedIn1y
How do you handle large or complex network data sets?
The layout of a network graph affects how easy it is to understand and analyze. Different layouts emphasize different aspects of the network, such as distance, direction, or hierarchy. You should ...
GitHub7y
A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".
UNSW-NB15 is a network traffic data set with different categories for normal activities and synthetic attack behaviours. Find the data set here: https://www.unsw.adfa ...
GitHub1y
Geometric-renormalization-of-weighted-network
Codes and data sets for "Geometric renormalization of weighted networks". Citation: Muhua Zheng, Guillermo García-Pérez, Marián Boguñá, and M. Ángeles Serrano, Geometric renormalization of weighted ...
startup.siliconindia1y
Cognegica Networks: Training Data-sets for the Top AI & Machine Learning Companies
Cognegica Networks offers multilingual, highquality training data sets for AI and NLP applications that include data collection, data segmentation, data labeling, and data annotation of speech, audio, ...
Nature2mon
Probabilistic data networks articles from across Nature Portfolio
Probabilistic data networks represent sets of uncertain data whose behaviour cannot exactly be predicted. The likeliness of any version of the network being true is associated with a probability.
Los Angeles Times6d
CNN hit with 6% staff cut as network sets a plan for a digital future
In January — a month with major news stories including President Trump’s inauguration and the Los Angeles wildfires — the network is down 13% compared with 2024, according to Nielsen data.