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1.
Statistics for Time-Series Spatial Data: Applying Survival Analysis to Study Land-Use Change
by Wang, Ninghua Nathan, Ph.D.  University of California, Santa Barbara. 2013: 199 pages; 3612050.
2.
Spatial, temporal, and inter-annual variability of the Martian northern seasonal polar cap
by Mount, Christopher P., M.S.  Northern Arizona University. 2013: 203 pages; 1537795.
3.
Spatial, temporal, and landscape characteristics of moose-vehicle collisions in Maine
by Danks, Zachary David, M.S.  State University of New York College of Environmental Science and Forestry. 2007: 93 pages; 1446217.
4.
Randomization based privacy preserving categorical data analysis
by Guo, Ling, Ph.D.  The University of North Carolina at Charlotte. 2010: 127 pages; 3439261.
5.
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.
7.
Time-Slicing of Movement Data for Efficient Trajectory Clustering
by Edens, Jared M., M.S.  Southern Illinois University at Edwardsville. 2014: 46 pages; 1560760.
8.
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.
9.
Online Management and Mining of Heteregenous and Dynamic Time Series
by Altiparmak, Fatih, Ph.D.  The Ohio State University. 2008: 176 pages; 10630894.
11.
High performance methods for frequent pattern mining
by Vu, Lan, Ph.D.  University of Colorado at Denver. 2014: 190 pages; 3667246.
12.
Mining discriminating patterns in data with confidence
by Kamra, Varun, M.S.  California State University, Long Beach. 2016: 59 pages; 10196147.
13.
Graph-Based Approach on Social Data Mining
by Wang, Guan, Ph.D.  University of Illinois at Chicago. 2014: 167 pages; 3668648.
14.
Metrics for Aspect Mining Visualization
by Jorgensen, Gisle J., Ph.D.  Nova Southeastern University. 2018: 85 pages; 10842982.
15.
Exact Primitives for Time Series Data Mining
by Mueen, Abdullah Al, Ph.D.  University of California, Riverside. 2012: 184 pages; 3503286.
16.
Data mining techniques for constructing jury selection models
by Espy, John, M.S.  California State University, Long Beach. 2013: 48 pages; 1527548.
17.
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.
18.
A data mining approach for identifying pavement distress signatures
by Bouret, Megan Sue, M.S.  North Dakota State University. 2015: 47 pages; 1606201.
19.
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.
20.
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.
21.
Improving Retention of Stem Students Using Data Mining Design: A Quantitative Study
by Amin, Awatif, DM/IST  University of Phoenix. 2019: 166 pages; 13886708.
22.
Modeling content lifespan in Online Social Networks using data mining
by Gibbons, John, Ph.D.  University of Kansas. 2014: 111 pages; 3625219.
23.
Mining explosion identification as an application to treaty verification
by Arrowsmith, Marie, Ph.D.  Southern Methodist University. 2009: 519 pages; 3356199.
25.
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.
27.
29.
Comparing Samos Document Search Performance between Apache Solr and Neo4j
by Stallard, Adam, M.S.  The Florida State University. 2017: 59 pages; 10270370.
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