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1.
Statistical analysis of decision trees
by Baskaya, Bengu, M.S.  California State University, Long Beach. 2011: 96 pages; 1493089.
2.
Principal component analyses for tree structured objects
by Aydin, Burcu, Ph.D.  The University of North Carolina at Chapel Hill. 2009: 83 pages; 3366476.
3.
Decision tree-based syntactic language modeling
by Filimonov, Denis, Ph.D.  University of Maryland, College Park. 2011: 185 pages; 3495330.
4.
Statistical analysis of credit card debt collectability based on data from a debt collection agency
by Yoo, Terrie, M.S.  California State University, Long Beach. 2016: 88 pages; 10131674.
5.
A new approach of top -down induction of decision trees for knowledge discovery
by Lee, Jun-Youl, Ph.D.  Iowa State University. 2008: 186 pages; 3307038.
6.
Determination of Default Probability in Auto Finance through Predictive Analytics
by Pham, Huy D., M.S.  California State University, Long Beach. 2017: 69 pages; 10603734.
7.
Roughened Random Forests for Binary Classification
by Xiong, Kuangnan, Ph.D.  State University of New York at Albany. 2014: 136 pages; 3624962.
8.
Statistical Analysis of Mortgage Fundings Based on Data Collected from a Mortgage Lending Institution
by Drury, Steven Gregory, M.S.  California State University, Long Beach. 2018: 149 pages; 10825922.
9.
Understanding software development processes through peer review data analyses
by Purcell, Leitha Alicia, M.S.  California State University, Long Beach. 2009: 65 pages; 1472358.
10.
Data mining techniques for constructing jury selection models
by Espy, John, M.S.  California State University, Long Beach. 2013: 48 pages; 1527548.
11.
Model combination in multiclass classification
by Reid, Samuel Robert, Ph.D.  University of Colorado at Boulder. 2010: 182 pages; 3404055.
12.
An Investigation of Anomaly-based Ensemble Models for Multi-domain Intrusion Detection
by Mikhail, Joseph W., D.Engr.  The George Washington University. 2019: 117 pages; 10977908.
13.
Precise Vehicle Classification Using a Quarter Sized Sensing System
by Patel, Kuntal G., M.S.  California State University, Long Beach. 2017: 82 pages; 10263671.
14.
On normal networks
by Bickner, Devin Robert, Ph.D.  Iowa State University. 2012: 89 pages; 3511361.
15.
New Paths from Splay to Dynamic Optimality
by Levy, Caleb Carson, Ph.D.  Princeton University. 2019: 137 pages; 13885892.
16.
Diagnosis-based Intrusion Detection
by Jackson, Conner Patrick Stearns, M.S.  University of California, Davis. 2016: 97 pages; 10124452.
17.
Studies of protein designability using reduced models
by Peto, Myron, Ph.D.  Iowa State University. 2007: 86 pages; 3274847.
18.
Predicting Four-Year Graduation: A Sequential Modeling Approach
by Sims, Michael S., M.S.  California State University, Long Beach. 2018: 83 pages; 10841337.
19.
Clustering Methods for Discovering Patterns in the Alzheimer's Disease Neuroimaging Initiative (ADNI) Data
by Fraundorf, Scott, M.S.  Southern Illinois University at Edwardsville. 2019: 213 pages; 13877627.
20.
Dynamic Trace Analysis with Zero-Suppressed BDDs
by Price, Graham David, Ph.D.  University of Colorado at Boulder. 2011: 224 pages; 3468482.
21.
Factorization via the Chinese Remainder Theorem: Computational methods to enhance rapid key processing and decryption
by Hines, Steven T., M.S.C.S.  California State University, Long Beach. 2012: 82 pages; 1522231.
22.
Algorithms and hardware designs for decimal multiplication
by Erle, Mark A., Ph.D.  Lehigh University. 2009: 229 pages; 3344791.
23.
Combining the normal hedge algorithm with weighted trees for predicting binary sequences
by Biaggi, Andrea, M.S.  University of California, San Diego. 2010: 41 pages; 1474775.
24.
Improving Retention of Stem Students Using Data Mining Design: A Quantitative Study
by Amin, Awatif, DM/IST  University of Phoenix. 2019: 166 pages; 13886708.
25.
Weighted voting ensembles for high dimensional data
by Hordoan, Liliana A., M.S.  California State University, Long Beach. 2015: 67 pages; 1584935.
26.
Predicting “Essential” Genes in Microbial Genomes: A Machine Learning Approach to Knowledge Discovery in Microbial Genomic Data
by Palaniappan, Krishnaveni, Ph.D.  Nova Southeastern University. 2010: 252 pages; 3428281.
28.
User retention and classification in a mobile gaming environment
by Ruffin, Michael, M.S.  California State University, Long Beach. 2014: 52 pages; 1527021.
29.
Applying Random Forest to Mitigate Cybersecurity Data Breaches in Small Businesses
by Liguori, Patricia Ann, D.Engr.  The George Washington University. 2018: 177 pages; 10928320.
30.
Log grade volume distribution model for tree species in red oak-sweetgum forests in Southern bottomlands
by Banzhaf, George Maynard, M.S.  Mississippi State University. 2009: 89 pages; 1467236.
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