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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.
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.
4.
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.
5.
Online Management and Mining of Heteregenous and Dynamic Time Series
by Altiparmak, Fatih, Ph.D.  The Ohio State University. 2008: 176 pages; 10630894.
6.
High performance methods for frequent pattern mining
by Vu, Lan, Ph.D.  University of Colorado at Denver. 2014: 190 pages; 3667246.
7.
Metrics for Aspect Mining Visualization
by Jorgensen, Gisle J., Ph.D.  Nova Southeastern University. 2018: 85 pages; 10842982.
8.
Mining discriminating patterns in data with confidence
by Kamra, Varun, M.S.  California State University, Long Beach. 2016: 59 pages; 10196147.
9.
Exact Primitives for Time Series Data Mining
by Mueen, Abdullah Al, Ph.D.  University of California, Riverside. 2012: 184 pages; 3503286.
10.
Data mining techniques for constructing jury selection models
by Espy, John, M.S.  California State University, Long Beach. 2013: 48 pages; 1527548.
11.
Graph-Based Approach on Social Data Mining
by Wang, Guan, Ph.D.  University of Illinois at Chicago. 2014: 167 pages; 3668648.
12.
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.
13.
A data mining approach for identifying pavement distress signatures
by Bouret, Megan Sue, M.S.  North Dakota State University. 2015: 47 pages; 1606201.
14.
Improving Retention of Stem Students Using Data Mining Design: A Quantitative Study
by Amin, Awatif, DM/IST  University of Phoenix. 2019: 166 pages; 13886708.
15.
Two essays on “mining market basket data: Models and applications in marketing”
by Li, Xiaojun, Ph.D.  The George Washington University. 2008: 80 pages; 3315049.
16.
Measuring nurses' response to configurations of work system parameters a data mining approach
by Parhizi, Shaghayegh, Ph.D.  University of Missouri - Columbia. 2014: 143 pages; 10157761.
17.
Modeling content lifespan in Online Social Networks using data mining
by Gibbons, John, Ph.D.  University of Kansas. 2014: 111 pages; 3625219.
18.
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.
20.
24.
Ventilation airflow around a continuous miner and its effect on methane concentrations at the face
by Dougherty, Heather N., M.S.  West Virginia University. 2014: 74 pages; 1573320.
25.
Data science for imbalanced data: Methods and applications
by Johnson, Reid A., Ph.D.  University of Notre Dame. 2016: 181 pages; 10004968.
27.
Mining explosion identification as an application to treaty verification
by Arrowsmith, Marie, Ph.D.  Southern Methodist University. 2009: 519 pages; 3356199.
28.
Web usage mining: Application to an online educational digital library service
by Palmer, Bart C., Ph.D.  Utah State University. 2012: 262 pages; 3507476.
29.
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.
30.
The Historical Archaeology of Ore Milling: Ideas, Environment, and Technology
by Richey, Christopher Shaun, M.A.  University of Nevada, Reno. 2016: 172 pages; 10161305.
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