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1.
Anomaly Detection on Social Data
by Hanbo, Dai, Ph.D.  Singapore Management University (Singapore). 2013: 146 pages; 3601348.
2.
An Investigation of Anomaly-based Ensemble Models for Multi-domain Intrusion Detection
by Mikhail, Joseph W., D.Engr.  The George Washington University. 2019: 117 pages; 10977908.
3.
Benchmarks for Evaluating Anomaly-Based Intrusion Detection Solutions
by Miller, Nicholas J., M.S.  California State University, Long Beach. 2018: 30 pages; 10752128.
4.
Advanced feature learning and representation in image processing for anomaly detection
by Price, Stanton Robert, M.S.  Mississippi State University. 2015: 110 pages; 1586997.
6.
Improving non-linear approaches to anomaly detection, class separation, and visualization
by Paciencia, Todd J., Ph.D.  Air Force Institute of Technology. 2014: 354 pages; 3667806.
7.
Cyber Incident Anomaly Detection Using Multivariate Analysis and Machine Learning
by Campbell, Ronald K., D.Engr.  The George Washington University. 2018: 121 pages; 10784357.
8.
Big Data Analytics and Engineering for Medicare Fraud Detection
by Herland, Matthew Andrew, Ph.D.  Florida Atlantic University. 2019: 205 pages; 13814186.
9.
Small Anomalous Mass Detection from Airborne Gradiometry
by Dumrongchai, Puttipol, Ph.D.  The Ohio State University. 2007: 282 pages; 10836010.
10.
Real-Time Adaptive Data-Driven Perception for Anomaly Priority Scoring at Scale
by Miraftabzadeh, Seyed Ali, Ph.D.  The University of Texas at San Antonio. 2017: 142 pages; 10686275.
11.
Mechanisms for database intrusion detection and response
by Kamra, Ashish, Ph.D.  Purdue University. 2010: 144 pages; 3444799.
12.
Machine learning for the automatic detection of anomalous events
by Fisher, Wendy D., Ph.D.  Colorado School of Mines. 2017: 173 pages; 10258193.
13.
Probabilistic Clustering Ensemble Evaluation for Intrusion Detection
by McElwee, Steven M., Ph.D.  Nova Southeastern University. 2018: 166 pages; 10844875.
15.
Multidimensional Analysis of Moving Object Data
by Li, Xiaolei, Ph.D.  University of Illinois at Urbana-Champaign. 2008: 143 pages; 3314964.
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Diagnosis-based Intrusion Detection
by Jackson, Conner Patrick Stearns, M.S.  University of California, Davis. 2016: 97 pages; 10124452.
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Strategic targeting of outliers for expert review
by Rebbapragada, Umaa Devi, Ph.D.  Tufts University. 2010: 176 pages; 3422362.
20.
Botnet Detection Using Graph Based Feature Clustering
by Akula, Ravi Kiran, M.S.  Mississippi State University. 2018: 69 pages; 10751733.
21.
A Novel Cooperative Intrusion Detection System for Mobile Ad Hoc Networks
by Solomon, Adam, Ph.D.  Nova Southeastern University. 2018: 242 pages; 13426423.
23.
Behavior-based admission and access control for network security
by Frias-Martinez, Vanessa, Ph.D.  Columbia University. 2008: 167 pages; 3333480.
24.
An inconsistency-based approach for sensing assessment in unknown environments
by Gage, Jennifer Diane, Ph.D.  University of South Florida. 2009: 268 pages; 3420536.
25.
Physics Beyond the Standard Model: Supersymmetry and Dark Matter
by Sanford, David, Ph.D.  University of California, Irvine. 2012: 168 pages; 3512763.
26.
Creating Profiles of Suspicious Behavior to Locate Plausible Evidence of Targeted Attacks
by LeDoux, Charles, Ph.D.  University of Louisiana at Lafayette. 2016: 179 pages; 10245924.
27.
Spectral Analysis of Directed Graphs using Matrix Perturbation Theory
by Li, Yuemeng, Ph.D.  The University of North Carolina at Charlotte. 2017: 143 pages; 10618933.
28.
Mine detection rats: Effects of repeated extinction on detection rates
by Mahoney, Amanda M., Ph.D.  Western Michigan University. 2012: 67 pages; 3531894.
30.
Instantaneous detection of spatial gradient errors in differential GNSS
by Jing, Jing, Ph.D.  Illinois Institute of Technology. 2014: 149 pages; 3662625.
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