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1.
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.
3.
Human-Data Interaction in Large and High-Dimensional Data
by Amraii, Saman Amirpour, Ph.D.  University of Pittsburgh. 2017: 192 pages; 10831835.
5.
An effective methodology for processing and analyzing large, complex spacecraft data streams
by Teymourlouei, Haydar, D.Sc.  Bowie State University. 2013: 109 pages; 3558443.
6.
Interactive Data Management and Data Analysis
by Yang, Ying, Ph.D.  State University of New York at Buffalo. 2017: 119 pages; 10288109.
7.
Transportation Behavioral Data and Climate Change
by Schewel, Laura Burbank, Ph.D.  University of California, Berkeley. 2019: 126 pages; 27665784.
8.
Towards a systematic study of big data performance and benchmarking
by Ekanayake, Saliya, Ph.D.  Indiana University. 2016: 120 pages; 10195564.
10.
Defining Data Science and Data Scientist
by Dedge Parks, Dana M., D.B.A.  University of South Florida. 2017: 77 pages; 10639701.
11.
Result Distribution in Big Data Systems
by Cheelangi, Madhusudan, M.S.  University of California, Irvine. 2013: 63 pages; 1539891.
12.
Building Efficient Large-Scale Big Data Processing Platforms
by Wang, Jiayin, Ph.D.  University of Massachusetts Boston. 2017: 130 pages; 10262281.
14.
Implementer Perspectives: The Implementation of a School-Based Mentoring Program
by Fixsen, Amanda Angela Marjorie, Ph.D.  Portland State University. 2012: 212 pages; 3516783.
15.
Genomic Insights: Comparative Genomics in the Big Data Age
by Haug-Baltzell, Asher K., Ph.D.  The University of Arizona. 2018: 146 pages; 10745700.
16.
Exploring Cloud-Based Big Data Analytics in Healthcare Organizations
by Britto, Joseph Solomon, D.B.A.  University of Maryland University College. 2020: 172 pages; 28026986.
17.
18.
Big Data Analytics and Engineering for Medicare Fraud Detection
by Herland, Matthew Andrew, Ph.D.  Florida Atlantic University. 2019: 205 pages; 13814186.
19.
Light-Weight Virtualization Driven Runtimes for Big Data Applications
by Chen, Wei, Ph.D.  University of Colorado Colorado Springs. 2019: 194 pages; 13862451.
20.
Regression Analysis of Big Count Data Via A-optimal Subsampling
by Zhao, Xiaofeng, Ph.D.  Purdue University. 2018: 135 pages; 10842952.
21.
Applications and extensions of pClust to big microbial proteomic data
by Lockwood, Svetlana, Ph.D.  Washington State University. 2016: 100 pages; 10139743.
22.
Tools for extracting actionable medical knowledge from genomic big data
by Goldstein, Theodore C., Ph.D.  University of California, Santa Cruz. 2013: 158 pages; 3589324.
23.
Secure Semantic Search over Encrypted Big Data in the Cloud
by Woodworth, Jason W., M.S.  University of Louisiana at Lafayette. 2017: 71 pages; 10286646.
24.
Big Data Approaches to Decipher Non-coding Cancer Driver Mutations
by Liu, Minwei, Ph.D.  Weill Medical College of Cornell University. 2019: 296 pages; 13902177.
26.
Queries on Compressed Data
by Khandelwal, Anurag, Ed.D.  University of California, Berkeley. 2019: 131 pages; 27542792.
27.
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.
28.
High-throughput Visual Knowledge Analysis and Retrieval in Big Data Ecosystems
by Cao, Hongfei, Ph.D.  University of Missouri - Columbia. 2015: 121 pages; 13877134.
29.
Big data analytics solutions: The implementation challenges in the financial services industry
by Ojo, Michael O., D.Sc.  Robert Morris University. 2016: 115 pages; 10111816.
30.
Predicting the Adoption of Big Data Security Analytics for Detecting Insider Threats
by Lombardo, Gary, Ph.D.  Capella University. 2018: 121 pages; 10751570.
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