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Monitoring sparse and attributed networks with online Hurdle models

Published:2021-01-28 Issue: Volume: Page:1-14
ISSN:2472-5854
Container-title:IISE Transactions
language:en
Short-container-title:IISE Transactions

Author:

Ebrahimi Samaneh¹,Reisi-Gahrooei Mostafa²,Paynabar Kamran¹,Mankad Shawn³

Affiliation:

1. H. Milton Stewart School of Industrial & Systems Engineering, Georgia Institute of Technology, GA, USA

2. Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL, USA

3. Department of Operations, Technology, and Information Management, Cornell University, Ithaca, NY, USA

Funder

National Science Foundation

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725854.2020.1861390

Reference37 articles.

1. Trading networks

2. Graph based anomaly detection and description: a survey

3. Monitoring Temporal Homogeneity in Attributed Network Streams

4. Basu, S., Das, S., Michailidis, G. and Purnanandam, A.K. (2017) A system-wide approach to measure connectivity in the financial sector. Available at https://ssrn.com/abstract=2816137.

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