Data mining critical infrastructure systems: Models and tools

A Tabassum, S Chinthavali, L Chen… - IEEE Intelligent Informatics …, 2018 - osti.gov
Critical infrastructures (CIs) such as power, water, transportation, and telecommunication are
highly complex interacting systems that are vital to national security, economy and public …

Mapping network states using connectivity queries

A Rodríguez, B Adhikari, AD González… - … Conference on Big …, 2020 - ieeexplore.ieee.org
Can we infer all the failed components of an infrastructure network, given a sample of
reachable nodes from supply nodes? One of the most critical post-disruption processes after …

[PDF][PDF] Accurately Estimating Unreported Infections using Information Theory

J Cui, B Adhikari, A Haddadan, ASMAU Haque… - 2025 - vreeken.groups.cispa.de
One of the most significant challenges in combating against the spread of infectious
diseases was the difficulty in estimating the true magnitude of infections. Unreported …

Accurately Estimating Total COVID-19 Infections using Information Theory

J Cui, A Haddadan, ASMAU Haque, J Vreeken… - medRxiv, 2021 - medrxiv.org
One of the most significant challenges in the early combat against COVID-19 was the
difficulty in estimating the true magnitude of infections. Unreported infections drove up …

[PDF][PDF] Using Connectivity Queries to Map Network States

A Rodríguez, B Adhikari, AD González, C Nicholson… - sites.cc.gatech.edu
Can we infer all the failed components of an infrastructure network, given a sample of
reachable nodes from supply nodes? One of the most critical post-disruption processes after …

Domain-based Frameworks and Embeddings for Dynamics over Networks

B Adhikari - 2020 - vtechworks.lib.vt.edu
Broadly this thesis looks into network and time-series mining problems pertaining to
dynamics over networks in various domains. Which locations and staff should we monitor in …

[引用][C] Introduction: Which locations and staff should we monitor to detect C. Difficile (pathogen) outbreaks in hospitals? How do we predict the peak of the influenza …