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3.
Data sharing across research and public communities
by He, Yurong, Ph.D.  University of Maryland, College Park. 2016: 345 pages; 10242315.
4.
Clustering transient data streams by example and by variable
by Chaovalit, Pimwadee, Ph.D.  University of Maryland, Baltimore County. 2009: 224 pages; 3359104.
5.
Interpolation with prediction -error filters and training data
by Curry, William, Ph.D.  Stanford University. 2008: 190 pages; 3313828.
6.
Over-the-Counter Data's Impact on Educators' Data Analysis Accuracy
by Rankin, Jenny Grant, Ph.D.  Northcentral University. 2013: 485 pages; 3575082.
7.
Data governance: The missing approach to improving data quality
by Barker, James M., DM/IST  University of Phoenix. 2016: 293 pages; 10248424.
8.
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.
9.
A Location-Aware Architecture Supporting Intelligent Real-Time Mobile Applications
by Barbeau, Sean J., Ph.D.  University of South Florida. 2012: 245 pages; 3518695.
10.
Improving Enterprise Data Governance Through Ontology and Linked Data
by DeStefano, R.J., D.P.S.  Pace University. 2016: 150 pages; 10097925.
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Randomization based privacy preserving categorical data analysis
by Guo, Ling, Ph.D.  The University of North Carolina at Charlotte. 2010: 127 pages; 3439261.
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Data Use: Administrators' Perspectives
by Gonz├ílez-Cauley, Wendy L., Ed.D.  The George Washington University. 2018: 196 pages; 10689772.
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.
15.
Central Office Data Use: A Focus on District and School Goals
by Moll, Kerry Ann, Ed.D.  The University of Texas at Austin. 2009: 158 pages; 3499792.
16.
Data-driven Techniques for Improving Data Collection in Low-resource Environments
by Chen, Kuang, Ph.D.  University of California, Berkeley. 2011: 101 pages; 3498794.
17.
The principal as an instructional leader within the context of effective data use
by Deike, Mary Alice, Ed.D.  The University of Texas at Austin. 2009: 183 pages; 3359189.
18.
Data Governance Importance and Effectiveness: Health System Employee Perception
by Stephens, Joshua J., D.H.A.  Central Michigan University. 2018: 175 pages; 10751061.
20.
An Approach for Testing the Extract-Transform-Load Process in Data Warehouse Systems
by Homayouni, Hajar, M.S.  Colorado State University. 2018: 97 pages; 10689298.
21.
Extensions to Metadata Languages for Environmental Primary Data: the Forest Cloud
by Ibanez de Garayo, Luis Maria, Ph.D.  University of California, Berkeley. 2011: 195 pages; 3498830.
22.
Data driven decision making: Data interplay within a high school district
by Heilig, Christopher, Ed.D.  Rowan University. 2014: 190 pages; 3648140.
25.
Architectures for Stateful Data-intensive Analytics
by Logothetis, Dionysios, Ph.D.  University of California, San Diego. 2011: 129 pages; 3486845.
26.
Defining Data Science and Data Scientist
by Dedge Parks, Dana M., D.B.A.  University of South Florida. 2017: 77 pages; 10639701.
27.
Data science for imbalanced data: Methods and applications
by Johnson, Reid A., Ph.D.  University of Notre Dame. 2016: 181 pages; 10004968.
28.
Interactive Data Management and Data Analysis
by Yang, Ying, Ph.D.  State University of New York at Buffalo. 2017: 119 pages; 10288109.
29.
Alluxio: A Virtual Distributed File System
by Li, Haoyuan, Ph.D.  University of California, Berkeley. 2018: 93 pages; 10814792.
30.
Optimizing Data Movement in Hybrid Analytic Systems
by Leyshock, Patrick Michael, Ph.D.  Portland State University. 2014: 228 pages; 3670195.
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