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1.
Clustering of Large-Scale Protein Datasets
by Abnousi, Armen, Ph.D.  Washington State University. 2018: 118 pages; 10641432.
2.
Scaling activity discovery and recognition to large, complex datasets
by Rashidi, Parisa, Ph.D.  Washington State University. 2011: 275 pages; 3460419.
3.
Visualizing Sequential Patterns in Large Datasets Using Levels of Abstraction
by Wortman, Dana Taylor, Ph.D.  University of Maryland, Baltimore County. 2013: 401 pages; 3624429.
6.
An effective methodology for processing and analyzing large, complex spacecraft data streams
by Teymourlouei, Haydar, D.Sc.  Bowie State University. 2013: 109 pages; 3558443.
7.
Clustering datasets with singular value decomposition
by Douglas, Emmeline P., M.S.  College of Charleston. 2008: 85 pages; 1461189.
8.
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.
9.
Ranked Similarity Search of Scientific Datasets: An Information Retrieval Approach
by Megler, Veronika Margaret, Ph.D.  Portland State University. 2014: 305 pages; 3629331.
10.
Identifying Relationships between Scientific Datasets
by Alawini, Abdussalam, Ph.D.  Portland State University. 2016: 164 pages; 10127966.
11.
Analysis and optimization for processing grid-scale XML datasets
by Head, Michael Reuben, Ph.D.  State University of New York at Binghamton. 2009: 121 pages; 3389637.
12.
Motivating Introductory Computing Students with Pedagogical Datasets
by Bart, Austin Cory, Ph.D.  Virginia Polytechnic Institute and State University. 2017: 143 pages; 10647311.
13.
Post processing wrapper generated tables for labeling anonymous datasets
by Ahmed, Emdad, Ph.D.  Wayne State University. 2011: 91 pages; 3440259.
14.
International Adaptation of the Hazus Earthquake Model Using Global Exposure Datasets
by Rozelle, Jesse Ryan, Master  University of Colorado at Denver. 2018: 92 pages; 10979097.
15.
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.
17.
Human-Data Interaction in Large and High-Dimensional Data
by Amraii, Saman Amirpour, Ph.D.  University of Pittsburgh. 2017: 192 pages; 10831835.
18.
On Optimal Prediction Rules with Prospective Missingness and Bagged Empirical Null Inference in Large-Scale Data
by Mercaldo, Sarah Fletcher, Ph.D.  Vanderbilt University. 2017: 141 pages; 13835146.
19.
Scalable, situationally aware visual analytics and applications
by Eaglin, Todd, Ph.D.  The University of North Carolina at Charlotte. 2017: 180 pages; 10270103.
20.
Characterization of Positive Matrix Factorization Methods and Their Application to Ambient Aerosol Mass Spectra
by Ulbrich, Ingrid Marie, Ph.D.  University of Colorado at Boulder. 2011: 322 pages; 3468492.
22.
An iterative feature perturbation method for gene selection from microarray data
by Reich, Juana Canul, Ph.D.  University of South Florida. 2010: 153 pages; 3425694.
25.
Robust and efficient feature selection for high-dimensional datasets
by Mo, Dengyao, Ph.D.  University of Cincinnati. 2011: 131 pages; 3458192.
27.
Integrating Heterogeneous Datasets for Functional Profiling of Transcription Factors and Their Target Genes
by Bible, Paul W., Ph.D.  University of Louisiana at Lafayette. 2013: 115 pages; 3589955.
29.
Preconditioner-based In Situ Data Reduction for End-to-End Throughput Optimization
by Schendel, Eric Richard, Ph.D.  North Carolina State University. 2014: 99 pages; 3647579.
30.
Statistical Tests for Optimization Efficiency
by Boyles, Levi Beinarauskas, M.S.  University of California, Irvine. 2010: 45 pages; 1483253.
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