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1.
Randomization based privacy preserving categorical data analysis
by Guo, Ling, Ph.D.  The University of North Carolina at Charlotte. 2010: 127 pages; 3439261.
2.
Online Management and Mining of Heteregenous and Dynamic Time Series
by Altiparmak, Fatih, Ph.D.  The Ohio State University. 2008: 176 pages; 10630894.
3.
Plant uptake, time trends, and natural attenuation of selected metals in an abandoned mining district
by Andrews, William James, Ph.D.  The University of Oklahoma. 2011: 130 pages; 3449545.
4.
Metrics for Aspect Mining Visualization
by Jorgensen, Gisle J., Ph.D.  Nova Southeastern University. 2018: 85 pages; 10842982.
5.
High performance methods for frequent pattern mining
by Vu, Lan, Ph.D.  University of Colorado at Denver. 2014: 190 pages; 3667246.
6.
Mining explosion identification as an application to treaty verification
by Arrowsmith, Marie, Ph.D.  Southern Methodist University. 2009: 519 pages; 3356199.
7.
Influence of grain size on leachability of mine tailings with social indicators assessment of a mining area population
by Drake, Kenneth David, Ph.D.  University of Missouri - Kansas City. 2010: 162 pages; 3416390.
8.
Assessing the Foreign Direct Investment Theory as it Applies into Guinea's Mining Sector
by Balde, Mamadou Yero, Ph.D.  Northcentral University. 2016: 142 pages; 10245594.
9.
Improving Retention of Stem Students Using Data Mining Design: A Quantitative Study
by Amin, Awatif, DM/IST  University of Phoenix. 2019: 166 pages; 13886708.
10.
Clustering transient data streams by example and by variable
by Chaovalit, Pimwadee, Ph.D.  University of Maryland, Baltimore County. 2009: 224 pages; 3359104.
11.
Graph-Based Approach on Social Data Mining
by Wang, Guan, Ph.D.  University of Illinois at Chicago. 2014: 167 pages; 3668648.
12.
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.
13.
Learning to see: Visual tools in American mining engineering, 1860–1920
by Nystrom, Eric Charles, Ph.D.  The Johns Hopkins University. 2008: 399 pages; 3295796.
15.
Student Sequence Model: A Temporal Model For Exploring and Predicting Risk From Heterogeneous Student Data
by Mahzoon, Mohammad Javad, Ph.D.  The University of North Carolina at Charlotte. 2018: 122 pages; 10791643.
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17.
Mining the Past: Using Arrastras as Evidence of Mexican Mining Activity in Early Nevada
by Canon, Chelsea R., M.S.  University of Nevada, Reno. 2015: 157 pages; 1599975.
18.
Web usage mining: Application to an online educational digital library service
by Palmer, Bart C., Ph.D.  Utah State University. 2012: 262 pages; 3507476.
20.
Normalization of Deviance in Mining Engineering
by Mitchell, Trent Russell, M.S.  The University of Utah. 2017: 92 pages; 10603711.
22.
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.
23.
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.
24.
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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26.
Computational Pan-Genomics: Algorithms and Applications
by Cleary, Alan Michael, Ph.D.  Montana State University. 2018: 133 pages; 10792396.
27.
Cybersecurity testing and intrusion detection for cyber-physical power systems
by Pan, Shengyi, Ph.D.  Mississippi State University. 2014: 161 pages; 3665497.
29.
Predictive modeling of fuel efficiency of trucks
by Bindingnolle Narasimha, Srivatsa, M.S.  State University of New York at Binghamton. 2015: 91 pages; 10092244.
30.
Scaling activity discovery and recognition to large, complex datasets
by Rashidi, Parisa, Ph.D.  Washington State University. 2011: 275 pages; 3460419.
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