Abstract: Network traffic analysis plays a vital role in detecting malicious activities, anomalies, and understanding communication patterns. Two major classes of techniques, graph-based community ...
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“Customer looking to replace 20-year-old furnace. No heat. Can’t afford a new system. Needs help.”“Has been clogged for about a week; yesterday it started getting bad. We were out there about a month ...
Microsoft and Bristol Myers Squibb have signed a new pact aimed at identifying lung cancer cases more quickly. The U.S. tech giant will provide its suite of artificial-intelligence-powered radiology ...
We propose a hybrid methodology to evaluate the alignment between structural communities inferred from interaction networks and the linguistic coherence of users' textual production in online social ...
According to a new Physical Review Letters study, black holes could help solve the dark matter mystery. The shadowy regions in black hole images captured by the Event Horizon Telescope can act as ...
ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...
The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...
How do the algorithms that populate our social media feeds actually work? In a piece for Time Magazine excerpted from his recent book Robin Hood Math, Noah Giansiracusa sheds light on the algorithms ...