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1.
Creating useful integrated data sets to inform public policy
by Potok, Nancy Fagenson, Ph.D.  The George Washington University. 2009: 213 pages; 3368742.
3.
Application of Graph Theoretic Clustering on Some Biomedical Data Sets
by Ahlert, Darla, M.S.  Southern Illinois University at Edwardsville. 2015: 59 pages; 1588658.
4.
Efficient algorithms for large data sets of genomic sequences in microbial community analysis
by Knox, David A., M.S.  University of Colorado at Boulder. 2010: 71 pages; 1477003.
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A new method for genetic network reconstruction in expression QTL data sets
by Duarte, Christine W., Ph.D.  North Carolina State University. 2009: 84 pages; 3395300.
6.
Galaxy evolution insights from spectral modeling of large data sets from the Sloan Digital Sky Survey
by Hoversten, Erik Andrew, Ph.D.  The Johns Hopkins University. 2008: 347 pages; 3288603.
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A multiscale, geometric algorithm for non-parametric data exploration with an application to genomic data
by McQuown, Joseph, Ph.D.  State University of New York at Stony Brook. 2007: 105 pages; 3337616.
9.
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.
10.
Optimal Subset Selection for Causal Inference Using Machine Learning and Particle Swarm Optimization
by Sharma, Dhruv, D.Engr.  The George Washington University. 2018: 132 pages; 10928545.
11.
Strategic targeting of outliers for expert review
by Rebbapragada, Umaa Devi, Ph.D.  Tufts University. 2010: 176 pages; 3422362.
12.
Detection of low rank signals in noise and fast correlation mining with applications to large biological data
by Shabalin, Andrey A., Ph.D.  The University of North Carolina at Chapel Hill. 2010: 139 pages; 3418746.
13.
The data narrativist: Leading analytics organizations in value creation using data driven communication
by Bradbury, Judd D., Ph.D.  The University of Texas at Dallas. 2016: 164 pages; 10113850.
14.
Interactive Data Management and Data Analysis
by Yang, Ying, Ph.D.  State University of New York at Buffalo. 2017: 119 pages; 10288109.
15.
Time-Slicing of Movement Data for Efficient Trajectory Clustering
by Edens, Jared M., M.S.  Southern Illinois University at Edwardsville. 2014: 46 pages; 1560760.
16.
Missing data in non-parametric tests of correlated data
by Howard, Annie Green, Ph.D.  The University of North Carolina at Chapel Hill. 2012: 165 pages; 3512639.
17.
An investigation of data privacy and utility using machine learning as a gauge
by Mivule, Kato, D.Sc.  Bowie State University. 2014: 262 pages; 3619387.
18.
Data Governance: The Missing Approach to Improving Data Quality
by Barker, James M., DM/IST  University of Phoenix. 2016: 293 pages; 10248424.
19.
A Big Spatial Data System for Efficient and Scalable Spatial Data Processing
by Da, Yanan, M.S.  Southern Illinois University at Edwardsville. 2017: 57 pages; 10682760.
20.
Defining Data Science and Data Scientist
by Dedge Parks, Dana M., D.B.A.  University of South Florida. 2017: 77 pages; 10639701.
23.
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.
24.
Randomization based privacy preserving categorical data analysis
by Guo, Ling, Ph.D.  The University of North Carolina at Charlotte. 2010: 127 pages; 3439261.
25.
The Role of Diverse Skill Sets in Incident Response
by Moore, Sandra, T.D.  Capitol Technology University. 2019: 128 pages; 27662834.
27.
Data science for imbalanced data: Methods and applications
by Johnson, Reid A., Ph.D.  University of Notre Dame. 2016: 181 pages; 10004968.
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An effective methodology for processing and analyzing large, complex spacecraft data streams
by Teymourlouei, Haydar, D.Sc.  Bowie State University. 2013: 109 pages; 3558443.
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