Graph structure learning from unlabeled data for early outbreak detection
S Somanchi, DB Neill - IEEE Intelligent Systems, 2017 - ieeexplore.ieee.org
Processes such as disease propagation and information diffusion often spread over some
latent network structure that must be learned from observation. Given a set of unlabeled …
latent network structure that must be learned from observation. Given a set of unlabeled …
Tree decomposition based anomalous connected subgraph scanning for detecting and forecasting events in attributed social media networks
Event detection and forecasting in social media networks, such as disease outbreak and air
pollution event detection, have been formulated as an anomalous connected subgraph …
pollution event detection, have been formulated as an anomalous connected subgraph …
with Multiclass Preference Context
W Pan, Z Ming - NEW MEMBERSHIP OPTIONS FOR A BETTER FIT., 2017 - computer.org
Matrix factorization with multiclass preference context integrates an enhanced neighborhood
based on the assumption that users with similar past multiclass preferences will have similar …
based on the assumption that users with similar past multiclass preferences will have similar …