Stephen Michael Ranshous

Works (4)

Updated: July 5th, 2023 15:39

2016 article

Exploring memory hierarchy and network topology for runtime AMR data sharing across scientific applications

Zhang, W., Tang, H., Ranshous, S., Byna, S., Martin, D. F., Wu, K., … Samatova, N. F. (2016, December 1).

By: W. Zhang n, H. Tang *, S. Ranshous n, S. Byna *, D. Martin *, K. Wu *, B. Dong *, S. Klasky*, N. Samatova n

topics (OpenAlex): Advanced Data Storage Technologies; Distributed and Parallel Computing Systems; Parallel Computing and Optimization Techniques
TL;DR: Results show the proposed framework's spatial access pattern detection and prefetching methods demonstrate about 26% performance improvement for client analytical processes and the framework's topology-aware data placement can improve overall data access performance by up to 18%. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2015 article

Anomaly detection in dynamic networks: a survey

Ranshous, S., Shen, S., Koutra, D., Harenberg, S., Faloutsos, C., & Samatova, N. F. (2015, March 21). Wiley Interdisciplinary Reviews Computational Statistics.

By: S. Ranshous n, S. Shen n, D. Koutra *, S. Harenberg n, C. Faloutsos * & N. Samatova n

author keywords: anomaly detection; dynamic networks; outlier detection; graph mining; dynamic network anomaly detection; network anomaly detection
topics (OpenAlex): Anomaly Detection Techniques and Applications; Network Security and Intrusion Detection; Complex Network Analysis Techniques
TL;DR: This work focuses on anomaly detection in static graphs, which do not change and are capable of representing only a single snapshot of data, but as real‐world networks are constantly changing, there has been a shift in focus to dynamic graphs,Which evolve over time. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

report

Anomaly detection in dynamic networks: A survey

Ranshous, S., Shen, S., Koutra, D., Faloutsos, C., & Samatova, N. F. In Technical Report- Not held in TRLN member libraries.

By: S. Ranshous, S. Shen, D. Koutra, C. Faloutsos & N. Samatova

Source: NC State University Libraries
Added: August 6, 2018

report

Community detection in large-scale networks: A Survey and empirical evaluation

Harenberg, S., Bello, G. A., Gjeltema, L., Ranshous, S., Harlalka, J., Seay, R., … Samatova, N. In Technical Report- Not held in TRLN member libraries (p. 2014).

By: S. Harenberg, G. Bello, L. Gjeltema, S. Ranshous, J. Harlalka, R. Seay, K. Padmanabhan, N. Samatova

Source: NC State University Libraries
Added: August 6, 2018

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