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1.
The accessibility of insider threats on a corporate network
by Denison, Stephen, M.S.  Utica College. 2015: 62 pages; 1604807.
2.
A Deep Learning Approach to Detecting Covert Channels in the Domain Name System
by Peña, Tomás Antonio, T.D.  Capitol Technology University. 2020: 206 pages; 27735496.
3.
A multi-channel defense against communication denial -of -service attacks in wireless networks
by Alnifie, Ghada Matooq, Ph.D.  George Mason University. 2008: 165 pages; 3338544.
4.
Iranian Cyber Espionage
by Spataro, Jason G., M.S.  Utica College. 2019: 72 pages; 13877649.
5.
Investigating energy consumption of coastal vacation rental homes
by Myers, Sam, M.S.  East Carolina University. 2014: 50 pages; 1583707.
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Examination of Insider Threats: A Growing Concern
by Hartline, Cecil L., Jr., M.S.  Utica College. 2017: 72 pages; 10687276.
10.
Over-the-Counter Data's Impact on Educators' Data Analysis Accuracy
by Rankin, Jenny Grant, Ph.D.  Northcentral University. 2013: 485 pages; 3575082.
11.
Data Governance: The Missing Approach to Improving Data Quality
by Barker, James M., DM/IST  University of Phoenix. 2016: 293 pages; 10248424.
12.
Predicting the Adoption of Big Data Security Analytics for Detecting Insider Threats
by Lombardo, Gary, Ph.D.  Capella University. 2018: 121 pages; 10751570.
14.
Defining Data Science and Data Scientist
by Dedge Parks, Dana M., D.B.A.  University of South Florida. 2017: 77 pages; 10639701.
15.
Interactive Data Management and Data Analysis
by Yang, Ying, Ph.D.  State University of New York at Buffalo. 2017: 119 pages; 10288109.
16.
Human-Data Interaction in Large and High-Dimensional Data
by Amraii, Saman Amirpour, Ph.D.  University of Pittsburgh. 2017: 192 pages; 10831835.
17.
Data preservation in intermittently connected sensor networks via data aggregation
by Hsu, Tiffany, M.S.  California State University, Long Beach. 2013: 44 pages; 1527382.
18.
Randomization based privacy preserving categorical data analysis
by Guo, Ling, Ph.D.  The University of North Carolina at Charlotte. 2010: 127 pages; 3439261.
19.
Data driven decision making: Data interplay within a high school district
by Heilig, Christopher, Ed.D.  Rowan University. 2014: 190 pages; 3648140.
20.
Data-driven Techniques for Improving Data Collection in Low-resource Environments
by Chen, Kuang, Ph.D.  University of California, Berkeley. 2011: 101 pages; 3498794.
21.
Data science for imbalanced data: Methods and applications
by Johnson, Reid A., Ph.D.  University of Notre Dame. 2016: 181 pages; 10004968.
22.
I have the information, now what? A study discovering the factors that make up data literacy/competence
by Przybylski, Robert Michael, Ph.D.  The University of Alabama. 2016: 191 pages; 10127855.
23.
The Moral and Ethical Challenges of Principal Data-Driven Decisions about Annual Growth Data
by Williams, Jamisa C., Ed.D.  The University of North Carolina at Greensboro. 2019: 137 pages; 27545893.
25.
Using a Data Science Driven Approach to Analyzing Chemistry Hazard Code Data
by Bomer, Devlon C., M.S.  University of Arkansas at Little Rock. 2019: 36 pages; 27548421.
26.
Data mining techniques to enable large-scale exploratory analysis of heterogeneous scientific data
by Chopra, Pankaj, Ph.D.  North Carolina State University. 2009: 146 pages; 3360622.
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Data in School Reform: How Principals in Turnaround Schools Conceptualize the Usage of Data
by Bynum, Tanisha L., Ed.D.  The George Washington University. 2019: 308 pages; 22616174.
29.
Translating data into action: A data team model as the seed of comprehensive district change
by Ruffner, Karen Blake, Ph.D.  National-Louis University. 2008: 134 pages; 3333053.
30.
Studying Low Complexity Structures in Bioinformatics Data Analysis of Biological and Biomedical Data
by Causey, Jason L., Ph.D.  University of Arkansas at Little Rock. 2017: 100 pages; 10750808.
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