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Dissertations / Theses on the topic 'Classification and regression tree (CART)'

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Published: 3 June 2025

Last updated: 19 July 2025

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1

Nemčíková, Lucia. "Classification and Regression Trees in R." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-194149.

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Tree-based methods are a nice add-on to traditional statistical methods when solving classification and regression problems. The aim of this master thesis is not to judge which approach is better but rather bring the overview of these methods and apply them on the real data using R. Focus is made especially on the basic methodology of tree-based models and the application in specific software in order to provide wide range of tool for reader to be able to use these methods. One part of the thesis touches the advanced tree-based methods to provide full picture of possibilities.

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2

Hari, Vijaya. "Empirical Investigation of CART and Decision Tree Extraction from Neural Networks." Ohio University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1235676338.

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3

Pienaar, Neil Deon. "Using the classification and regression tree (CART) model for stock selection on the S&P 700." Master's thesis, University of Cape Town, 2016. http://hdl.handle.net/11427/20728.

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Traditionally, investment practitioners and academics alike have used stock fundamentals and a linear framework in order to predict future stock performance. This approach has been shown to have flaws as literature has shown that stock returns can exhibit non-linearity and involve complex relations beyond that of a linear nature (Hsieh, 1991; Sarantis, 2001; Shively, 2003). These findings present an opportunity to investment practitioners who are better able to model these returns. This dissertation attempts to classify stocks on the S&P 700 index using a Classification and Regression Tree (C

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4

Santos, Ernani Possato dos. "Análise de crédito com segmentação da carteira, modelos de análise discriminante, regressão logística e classification and regression trees (CART)." Universidade Presbiteriana Mackenzie, 2015. http://tede.mackenzie.br/jspui/handle/tede/970.

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Made available in DSpace on 2016-03-15T19:32:56Z (GMT). No. of bitstreams: 1 Ernani Possato dos Santosprot.pdf: 2286270 bytes, checksum: 96bb14c147c5baa96f3ae6ca868056d6 (MD5) Previous issue date: 2015-08-14<br>The credit claims to be one of the most important tools to trigger and move the economic wheel. Once it is well used it will bring benefits on a large scale to society; although if it is used without any balance it might bring loss to the banks, companies, to governments and also to the population. In relation to this context it becomes fundamental to evaluate models of credit capable

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5

Hickson, Benjamin. "Using Classification and Regression Tree and Valley Bottom Modeling Techniques to Identify Riparian Vegetation in Pinal County, Arizona." The University of Arizona, 2015. http://hdl.handle.net/10150/626257.

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The ecological value and functionality of riparian systems along ephemeral, intermittent, and perennial streams in the Southwest is well established. In Pinal County, Arizona the existing datasets available to environmental managers and governing bodies drastically underestimate the extent and presence of riparian zones. This study addresses the issue through the use of remote sensing land cover classification techniques. Landsat 8 data, topographic data, and high-resolution color infrared (CIR) imagery, and several derived vegetation indices are used to construct a classification and regressi

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Jeenanunta, Chawalit. "The Approach-dependent, Time-dependent, Label-constrained Shortest Path Problem and Enhancements for the CART Algorithm with Application to Transportation Systems." Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/27773.

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In this dissertation, we consider two important problems pertaining to the analysis of transportation systems. The first of these is an approach-dependent, time-dependent, label-constrained shortest path problem that arises in the context of the Route Planner Module of the Transportation Analysis Simulation System (TRANSIMS), which has been developed by the Los Alamos National Laboratory for the Federal Highway Administration. This is a variant of the shortest path problem defined on a transportation network comprised of a set of nodes and a set of directed arcs such that each arc has an assoc

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Simonds, Jonah. "Roots of Conflict: Classification and Regression Trees and the Complexity of Organized Violence." Thesis, Uppsala universitet, Institutionen för freds- och konfliktforskning, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-444122.

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Conflict researchers have validated many different theories on the causes of organized violence, but there are significant gaps in knowledge concerning how these theories interact with one another. In this thesis, I identify a body of the most prominent theories of organized violence and model them in an environment suitable for capturing these complex interactions. I formulate six causal categories to which these theories belong: Geography; Economy; Conflict History & Insecurity; Liberty & Inclusion; Natural Resources; and Structures of Governance. I then construct a cross-national, t

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Gey, Servane. "Bornes de risque, détection de ruptures, boosting : trois thèmes statistiques autour de CART en régression." Paris 11, 2002. http://www.theses.fr/2002PA112245.

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Cette thèse est consacrée à trois thèmes statistiques autour de la méthode CART (Classifiation And Regression Trees) proposée par Breiman et al. En 1984. CART est une méthode d'estimation non-linéaire pour les problèmes de classification et de régression. Elle permet de construire des estimateurs constants par morceaux sur des partitions obtenues, à partir des données, par des découpes dyadiques récursives de l'ensemble des variables explicatives. Nous nous concentrons sur CART en régression. Après le chapitre 1 présentant l'ensemble de la thèse, nous rappelons dans le chapitre 2 les fondement

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Vinnemeier, Christof David [Verfasser], Jürgen [Akademischer Betreuer] May, Uwe [Akademischer Betreuer] Groß, and Tim [Akademischer Betreuer] Friede. "Establishment of a clinical algorithm for the diagnosis of P. falciparum malaria in children from an endemic area using a Classification and Regression Tree (CART) model / Christof David Vinnemeier. Gutachter: Uwe Groß ; Tim Friede. Betreuer: Jürgen May." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2015. http://d-nb.info/1065882017/34.

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10

MA, YUN. "COMPARISON OF LOGISTIC REGRESSION TO LATEST CART TREE STRUCTURE GENERATING ALGORITHMS." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1123273128.

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Bernardes, Diego Paiva. "Seleção de famílias de cana-de-açúcar via árvores de decisão." Universidade Federal de Viçosa, 2013. http://locus.ufv.br/handle/123456789/4069.

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Made available in DSpace on 2015-03-26T13:32:19Z (GMT). No. of bitstreams: 1 texto completo.pdf: 677917 bytes, checksum: fe42f6008c42e03314bd889ebb94ea29 (MD5) Previous issue date: 2013-03-15<br>The process of selection of clones to be used as new commercial varieties is lacking in statistical methods and phytotechnical that increase the genetic gains in crop improvement programs of cane sugar. Out of five stages of the selection program to improve the RIDESA, the first one, T1, is endowed with great importance. First because it develops the remaining phases of the crop breeding program. And

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Simán, Frans Filip. "Assessment of Machine Learning Applied to X-Ray Fluorescence Core Scan Data from the Zinkgruvan Zn-Pb-Ag Deposit, Bergslagen, Sweden." Thesis, Luleå tekniska universitet, Geovetenskap och miljöteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-82050.

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Lithological core logging is a subjective and time consuming endeavour which could possibly be automated, the question is if and to what extent this automation would affect the resulting core logs. This study presents a case from the Zinkgruvan Zn-Pb-Ag mine, Bergslagen, Sweden; in which Classification and Regression Trees and K-means Clustering on the Self Organising Map were applied to X-Ray Flourescence lithogeochemistry data derived from automated core scan technology. These two methods are assessed through comparison to manual core logging. It is found that the X-Ray Fluorescence data are

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au, A. Bremner@murdoch edu, and Alexandra Bremner. "Localised splitting criteria for classification and regression trees." Murdoch University, 2004. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20040606.142949.

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This thesis presents a modification of existing entropy-based splitting criteria for classification and regression trees. Trees are typically grown using splitting criteria that choose optimal splits without taking future splits into account. This thesis examines localised splitting criteria that are based on local averaging in regression trees or local proportions in classification trees. The use of a localised criterion is motivated by the fact that future splits result in leaves that contain local observations, and hence local deviances provide a better approximation of the deviance of the

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Liu, Dan. "Tree-based Models for Longitudinal Data." Bowling Green State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1399972118.

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Yang, Yung-Mei. "Acculturation and health outcomes among Vietnamese immigrant women in Taiwan." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/20647/1/Yung-Mei_Yang_Thesis.pdf.

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Background Recently, Taiwan has been faced with the migration of numbers of women from Southeast Asian (SEA) countries. It was estimated that the aggregate number of SEA wives in Taiwan was more than 131,000 in 2007 (Ministry of Foreign Affairs, 2006).These women are often colloquially called, “foreign brides” or “alien brides”; most of them are seen as commodities of the marriage trade, whose marriages are arranged by marriage brokers. Some women can be regarded as being sold for profit by their families. These young Vietnamese immigrant women come to Taiwan alone, often with a single suitcas

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Yang, Yung-Mei. "Acculturation and health outcomes among Vietnamese immigrant women in Taiwan." Queensland University of Technology, 2008. http://eprints.qut.edu.au/20647/.

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Background Recently, Taiwan has been faced with the migration of numbers of women from Southeast Asian (SEA) countries. It was estimated that the aggregate number of SEA wives in Taiwan was more than 131,000 in 2007 (Ministry of Foreign Affairs, 2006).These women are often colloquially called, “foreign brides” or “alien brides”; most of them are seen as commodities of the marriage trade, whose marriages are arranged by marriage brokers. Some women can be regarded as being sold for profit by their families. These young Vietnamese immigrant women come to Taiwan alone, often with a single suitcas

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17

Rusch, Thomas, Ilro Lee, Kurt Hornik, Wolfgang Jank, and Achim Zeileis. "Influencing elections with statistics: targeting voters with logistic regression trees." Institute of Mathematical Statistics (IMS), 2013. http://epub.wu.ac.at/3979/1/AOAS648.pdf.

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In political campaigning substantial resources are spent on voter mobilization, that is, on identifying and influencing as many people as possible to vote. Campaigns use statistical tools for deciding whom to target ("microtargeting"). In this paper we describe a nonpartisan campaign that aims at increasing overall turnout using the example of the 2004 US presidential election. Based on a real data set of 19,634 eligible voters from Ohio, we introduce a modern statistical framework well suited for carrying out the main tasks of voter targeting in a single sweep: predicting an individual

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Rusch, Thomas, Ilro Lee, Kurt Hornik, Wolfgang Jank, and Achim Zeileis. "Influencing Elections with Statistics: Targeting Voters with Logistic Regression Trees." WU Vienna University of Economics and Business, 2012. http://epub.wu.ac.at/3458/1/Report117.pdf.

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Political campaigning has become a multi-million dollar business. A substantial proportion of a campaign's budget is spent on voter mobilization, i.e., on identifying and influencing as many people as possible to vote. Based on data, campaigns use statistical tools to provide a basis for deciding who to target. While the data available is usually rich, campaigns have traditionally relied on a rather limited selection of information, often including only previous voting behavior and one or two demographical variables. Statistical procedures that are currently in use include logistic regress

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Löwe, Rakel, and Ida Schneider. "Automatic Differential Diagnosis Model of Patients with Parkinsonian Syndrome : A model using multiple linear regression and classification tree learning." Thesis, Uppsala universitet, Tillämpad kärnfysik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-413638.

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Parkinsonian syndrome is an umbrella term including several diseases with similar symptoms. PET images are key when differential diagnosing patients with parkinsonsian syndrome. In this work two automatic diagnosing models are developed and evaluated, with PET images as input, and a diagnosis as output. The two devoloped models are evaluated based on performance, in terms of sensitivity, specificity and misclassification error. The models consists of 1) regression model and 2) either a decision tree or a random forest. Two coefficients, alpha and beta, are introduced to train and test the mode

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20

Lo, Shin-Lian. "High-dimensional classification and attribute-based forecasting." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37193.

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This thesis consists of two parts. The first part focuses on high-dimensional classification problems in microarray experiments. The second part deals with forecasting problems with a large number of categories in predictors. Classification problems in microarray experiments refer to discriminating subjects with different biologic phenotypes or known tumor subtypes as well as to predicting the clinical outcomes or the prognostic stages of subjects. One important characteristic of microarray data is that the number of genes is much larger than the sample size. The penalized logistic regression

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21

Brabcová, Hana. "Využití logistické regrese ve výzkumu trhu." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-19234.

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The aim of this work is to decide the real usage of logistic regression in the market research tasks respecting the needs of final users of research results. The main argument for the final decision is the comparison of its output to the output of an alternative classification method used in practice -- a classification tree method. The topic is divided into three parts. The first part describes the theoretical framework and approaches linked to logistic regression (chapter 2 and 3). The second part analyses the experience with the usage of logistic regression in Czech market research companie

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22

Kuikka, Sanni. "Classification Tree Based Algorithms in Studying Predictors for Long-Term Unemployment in Early Adulthood : An Exploratory Analysis Combining Supervised Machine Learning and Administrative Register Data." Thesis, Linköpings universitet, Institutionen för ekonomisk och industriell utveckling, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167720.

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Unemployment at young age is a negative life event that has been found to have scarring effects for future life outcomes, especially when continuing long-term. Understanding precursors for long-term unemployment in early adulthood is important to be able to target policy interventions in critical junctures in the life course. Paths to unemployment are complex and a comprehensive outlook on the most important factors and mechanisms is difficult to obtain. This study proposes a data-driven, exploratory approach for studying individual and family level factors during ages 0-24, that predict long-

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Iscanoglu, Aysegul. "Credit Scoring Methods And Accuracy Ratio." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606502/index.pdf.

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The credit scoring with the help of classification techniques provides to take easy and quick decisions in lending. However, no definite consensus has been reached with regard to the best method for credit scoring and in what conditions the methods performs best. Although a huge range of classification techniques has been used in this area, the logistic regression has been seen an important tool and used very widely in studies. This study aims to examine accuracy and bias properties in parameter estimation of the logistic regression by using Monte Carlo simulations in four aspect which are di

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Das, Abhishek. "Analyses of Crash Occurence and Injury Severities on Multi Lane Highways Using Machine Learning Algorithms." Master's thesis, University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2576.

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Reduction of crash occurrence on the various roadway locations (mid-block segments; signalized intersections; un-signalized intersections) and the mitigation of injury severity in the event of a crash are the major concerns of transportation safety engineers. Multi lane arterial roadways (excluding freeways and expressways) account for forty-three percent of fatal crashes in the state of Florida. Significant contributing causes fall under the broad categories of aggressive driver behavior; adverse weather and environmental conditions; and roadway geometric and traffic factors. The objective of

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Consuegra, Rengifo Nathan Adolfo. "Detection and Classification of Anomalies in Road Traffic using Spark Streaming." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-238733.

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Road traffic control has been around for a long time to guarantee the safety of vehicles and pedestrians. However, anomalies such as accidents or natural disasters cannot be avoided. Therefore, it is important to be prepared as soon as possible to prevent a higher number of human losses. Nevertheless, there is no system accurate enough that detects and classifies anomalies from the road traffic in real time. To solve this issue, the following study proposes the training of a machine learning model for detection and classification of anomalies on the highways of Stockholm. Due to the lack of a

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Kuhnert, Petra Meta. "New methodology and comparisons for the analysis of binary data using Bayesian and tree based methods." Thesis, Queensland University of Technology, 2003.

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White, Timothy William. "Identifying drivers of Chikungunya virus transmission in the Asia-Pacific." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/225936/1/Timothy_White_Thesis.pdf.

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This research project investigates the climate drivers and transmission potential of the mosquito-borne chikungunya virus (CHIKV) in the Asia-Pacific region. The thesis utilises statistical and mathematical modelling to gain epidemiological insight into CHIKV transmission and understand the weather patterns that can influence transmission in Australia and Singapore. By further understanding lessons of the past, this project can assist in future public health preparedness plans and improve predictions of virus transmission using climate forecasts.

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Krueger, Kirk L. "Effects of Sampling Sufficiency and Model Selection on Predicting the Occurrence of Stream Fish Species at Large Spatial Extents." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/26214.

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Knowledge of species occurrence is a prerequisite for efficient and effective conservation and management. Unfortunately, knowledge of species occurrence is usually insufficient, so models that use environmental predictors and species occurrence records are used to predict species occurrence. Predicting the occurrence of stream fishes is often difficult because sampling data insufficiently describe species occurrence and important environmental conditions and predictive models insufficiently describe relations between species and environmental conditions. This dissertation 1) examines the suff

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Kabalar, Hakan. "Multivariate analysis of the effect of graduate education on promotion to Army Lieutenant Colonel." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Jun%5FKabalar.pdf.

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Thesis (M.S. in Operations Research)--Naval Postgraduate School, June 2003.<br>Thesis advisor(s): Samuel E. Buttrey, Robert A. Koyak. Includes bibliographical references (p. 55-56). Also available online.

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Eusébio, Gabriela dos Santos. "Determinantes do acesso ao crédito rural: um estudo a partir do levantamento das unidades produtivas agropecuárias (LUPA) do Estado de São Paulo." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/96/96131/tde-10112011-103439/.

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Este trabalho busca compreender e mensurar as características dos produtores rurais que ampliam a probabilidade para que o mesmo tenha acesso ao crédito rural. Utilizando os dados do Levantamento das Unidades Produtivas Agropecuárias (LUPA) do Estado de São Paulo (2006/2007), que abrange todas as UPAs pertencentes aos 645 municípios do estado, foi possível detalhar as características observáveis dos produtores e das propriedades que acessaram o crédito rural em 2007. Para tanto, foi utilizado o método de Árvores de Classificação e Regressão. As estimações realizadas para todas as UPAs de estad

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Crouch, Ryan T. "Adding value to upground drinking water reservoirs: what makes a good yellow perch (Perca flavescens) fishery?" Bowling Green State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1291841439.

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Kadiyala, Akhil. "Identification of Factors Affecting Contaminant Levels and Determination of Infiltration of Ambient Contaminants in Public Transport Buses Operating on Biodiesel and ULSD Fuels." Connect to full text in OhioLINK ETD Center, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=toledo1221524830.

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Thesis (M.S.C.E.)--University of Toledo, 2008.<br>Typescript. "Submitted as partial fulfillments of the requirements for The Master of Science in Engineering." "A thesis entitled"--at head of title. Bibliography: leaves 81-92.

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Goebes, Philipp, Karsten Schmidt, Felix Stumpf, et al. "Rule-based analysis of throughfall kinetic energy to evaluate biotic and abiotic factor thresholds to mitigate erosive power." Sage, 2016. https://tud.qucosa.de/id/qucosa%3A35382.

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Below vegetation, throughfall kinetic energy (TKE) is an important factor to express the potential of rainfall to detach soil particles and thus for predicting soil erosion rates. TKE is affected by many biotic (e.g. tree height, leaf area index) and abiotic (e.g. throughfall amount) factors because of changes in rain drop size and velocity. However, studies modelling TKE with a high number of those factors are lacking. This study presents a new approach to model TKE. We used 20 biotic and abiotic factors to evaluate thresholds of those factors that can mitigate TKE and thus decrease soil eros

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Drábek, Matěj. "Využití vybraných metod strojového učení pro modelování kreditního rizika." Master's thesis, Vysoká škola ekonomická v Praze, 2017. http://www.nusl.cz/ntk/nusl-360509.

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This master's thesis is divided into three parts. In the first part I described P2P lending, its characteristics, basic concepts and practical implications. I also compared P2P market in the Czech Republic, UK and USA. The second part consists of theoretical basics for chosen methods of machine learning, which are naive bayes classifier, classification tree, random forest and logistic regression. I also described methods to evaluate the quality of classification models listed above. The third part is a practical one and shows the complete workflow of creating classification model, from data pr

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Jansson, Daniel, and Rasmus Blomstrand. "REAL-TIME PREDICTION OF SHIMS DIMENSIONS IN POWER TRANSFER UNITS USING MACHINE LEARNING." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-45615.

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Stephens, Fiona Nancy. "Statistical modelling in health." Thesis, Queensland University of Technology, 2000. https://eprints.qut.edu.au/37058/1/37058_Stephens_2000.pdf.

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This thesis discusses the theory and application of a variety of statistical methods for addressing specific problems, which arise in medical research. The thesis focuses on three data sets that are used as case studies. These data sets contain information on heart disease surgical outcomes and aortic valve allograft survival. An overview of statistical methods for risk stratification and survival analysis is provided. A new method of outcome specific pruning of classification trees for risk stratification of rare events is discussed, applied and interpreted for one of the case studies. App

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Žiupsnys, Giedrius. "Klientų duomenų valdymas bankininkystėje." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2011. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20110709_152442-86545.

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Darbas apima banko klientų kredito istorinių duomenų dėsningumų tyrimą. Pirmiausia nagrinėjamos banko duomenų saugyklos, siekiant kuo geriau perprasti bankinius duomenis. Vėliau naudojant banko duomenų imtis, kurios apima kreditų grąžinimo istoriją, siekiama įvertinti klientų nemokumo riziką. Tai atliekama adaptuojant algoritmus bei programinę įrangą duomenų tyrimui, kuris pradedamas nuo informacijos apdorojimo ir paruošimo. Paskui pritaikant įvairius klasifikavimo algoritmus, sudarinėjami modeliai, kuriais siekiama kuo tiksliau suskirstyti turimus duomenis, nustatant nemokius klientus. Taip p

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Bridgstock, Ruth Sarah. "Success in the protean career : a predictive study of professional artists and tertiary arts graduates." Thesis, Queensland University of Technology, 2007. https://eprints.qut.edu.au/16575/1/Ruth_Bridgstock_Thesis.pdf.

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In the shift to a globalised creative economy where innovation and creativity are increasingly prized, many studies have documented direct and indirect social and economic benefits of the arts. In addition, arts workers have been argued to possess capabilities which are of great benefit both within and outside the arts, including (in addition to creativity) problem solving abilities, emotional intelligence, and team working skills (ARC Centre of Excellence for Creative Industries and Innovation, 2007). However, the labour force characteristics of professional artists in Australia and elsewh

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Bridgstock, Ruth Sarah. "Success in the protean career : a predictive study of professional artists and tertiary arts graduates." Queensland University of Technology, 2007. http://eprints.qut.edu.au/16575/.

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In the shift to a globalised creative economy where innovation and creativity are increasingly prized, many studies have documented direct and indirect social and economic benefits of the arts. In addition, arts workers have been argued to possess capabilities which are of great benefit both within and outside the arts, including (in addition to creativity) problem solving abilities, emotional intelligence, and team working skills (ARC Centre of Excellence for Creative Industries and Innovation, 2007). However, the labour force characteristics of professional artists in Australia and elsewher

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Lantz, Robin. "Time series monitoring and prediction of data deviations in a manufacturing industry." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-100181.

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An automated manufacturing industry makes use of many interacting moving parts and sensors. Data from these sensors generate complex multidimensional data in the production environment. This data is difficult to interpret and also difficult to find patterns in. This project provides tools to get a deeper understanding of Swedsafe’s production data, a company involved in an automated manufacturing business. The project is based on and will show the potential of the multidimensional production data. The project mainly consists of predicting deviations from predefined threshold values in Swedsafe

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Tan, Jennifer Pei-Ling. "Digital kids, analogue students : a mixed methods study of students' engagement with a school-based Web 2.0 learning innovation." Thesis, Queensland University of Technology, 2009. https://eprints.qut.edu.au/30396/1/Jennifer_Tan_Thesis.pdf.

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The inquiry documented in this thesis is located at the nexus of technological innovation and traditional schooling. As we enter the second decade of a new century, few would argue against the increasingly urgent need to integrate digital literacies with traditional academic knowledge. Yet, despite substantial investments from governments and businesses, the adoption and diffusion of contemporary digital tools in formal schooling remain sluggish. To date, research on technology adoption in schools tends to take a deficit perspective of schools and teachers, with the lack of resources and teach

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Tan, Jennifer Pei-Ling. "Digital kids, analogue students : a mixed methods study of students' engagement with a school-based Web 2.0 learning innovation." Queensland University of Technology, 2009. http://eprints.qut.edu.au/30396/.

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The inquiry documented in this thesis is located at the nexus of technological innovation and traditional schooling. As we enter the second decade of a new century, few would argue against the increasingly urgent need to integrate digital literacies with traditional academic knowledge. Yet, despite substantial investments from governments and businesses, the adoption and diffusion of contemporary digital tools in formal schooling remain sluggish. To date, research on technology adoption in schools tends to take a deficit perspective of schools and teachers, with the lack of resources and teach

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Abraham, Lukáš. "Analýza dat síťové komunikace mobilních zařízení." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2020. http://www.nusl.cz/ntk/nusl-432938.

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At the beginning, the work describes DNS and SSL/TLS protocols, it mainly deals with communication between devices using these protocols. Then we'll talk about data preprocessing and data cleaning. Furthermore, the thesis deals with basic data mining techniques such as data classification, association rules, information retrieval, regression analysis and cluster analysis. The next chapter we can read something about how to identify mobile devices on the network. We will evaluate data sets that contain collected data from communication between the above mentioned protocols, which will be used i

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Martin, Stephen Fredrick. "Applying Classification and Regression Trees to manage financial risk." Thesis, 2012. http://hdl.handle.net/2152/ETD-UT-2012-05-5428.

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This goal of this project is to develop a set of business rules to mitigate risk related to a specific financial decision within the prepaid debit card industry. Under certain circumstances issuers of prepaid debit cards may need to decide if funds on hold can be released early for use by card holders prior to the final transaction settlement. After a brief introduction to the prepaid card industry and the financial risk associated with the early release of funds on hold, the paper presents the motivation to apply the CART (Classification and Regression Trees) method. The paper provides a tuto

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Hsieh, Ai-Ru, and 謝璦如. "On the use of multifactor dimensionality reduction (MDR) and classification and regression tree (CART) to identify haplotype-haplotype interactions in genetic studies." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/98943924834611902771.

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博士<br>國立陽明大學<br>公共衛生研究所<br>99<br>Most common human diseases are caused by complex interactions of multiple genetic and environmental factors. Haplotype-based approaches incorporate information from multiple adjacent single nucleotide polymorphism markers (SNPs) and may have greater power than single-locus analyses when the SNPs are in strong linkage disequilibrium with the risk locus. Unfortunately, the number of distinct haplotypes increases rapidly as the number of SNPs increases. To overcome potential complexities owing to large numbers of haplotypes in genetic studies, we evaluated two dat

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Yeh, Chien-Liang, and 葉建良. "A Study of Default Risk Model of Consume Credit Loan Using CART（Classification and Regression Tree）: With Bank A in Taiwan as an Example." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/85924060349896628945.

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碩士<br>輔仁大學<br>應用統計學研究所<br>94<br>In recent years, the bank industry actively introduce and plan to practice the Basel Ⅱ and adjust the inside system gradually. Banks except itself had consume private liability variables, also taken the relevant consume situation of credit from JCIC. Banks actively set up default risk model in order to calculate default risk’s score and then set up and comment etc. In order to distinguishes from the size of customer's risk and reduce the loss. Then how to set up appropriate default risk models is also the key of this research. The objective of this research

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Vinnemeier, Christof David. "Establishment of a clinical algorithm for the diagnosis of P. falciparum malaria in children from an endemic area using a Classification and Regression Tree (CART) model." Doctoral thesis, 2015. http://hdl.handle.net/11858/00-1735-0000-001F-00E4-1.

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Die Weltgesundheitsorganisation WHO schätzte die Zahl der an Malaria erkrankten Menschen im Jahr 2009 auf weltweit 225 Millionen. Auf dem afrikanischen Kontinent betrafen 85% der durch Malaria verursachten Todesfälle Kinder unter fünf Jahren. Obwohl die Inzidenzen der P. falciparum-Malaria in einigen Teilen des subsaharischen Afrika sinken und andere Erkrankungen mit ähnlichen Symptomen wie denen der Malaria an Bedeutung gewinnen, ist eine vorsorgliche medikamentöse Behandlung im Verdachtsfall weiterhin üblich. Ziel dieser Arbeit ist die Generierung eines auf das Lebensalter bezogenen klinisch

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林佩樺. "A Predictive Analysis of Credit Card Default Risk- An Application of Decision Tree Classification and Logistic Regression." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/p7u4j3.

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碩士<br>逢甲大學<br>金融碩士在職學位學程<br>107<br>This thesis conducts a predictive analysis of credit card default risk. The data are 75,109 samples of credit card holders from a commercial bank in Taiwan. The data items include the holder’s age, education, gender, marriage status, job category, line of credit, annual income, JCIC credit score and default record. The default record indicates whether the holder has been in default or no default on the payment. Decision Classification Tree and Logistic regression are used to construct the prediction models. The dataset is randomly divided into training data a

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Song, Qinghua. "Contributions to regression and classification tree methods." 2005. http://catalog.hathitrust.org/api/volumes/oclc/65198257.html.

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BRANDI, MARCO. "Classification and regression energy tree for functional data." Doctoral thesis, 2018. http://hdl.handle.net/11573/1146102.

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Tree based methods for regression and classification have a long and successful history in statistics and data–analysis and are essentially based on a recursive partition of the covariate space, possibly driven by specific testing procedures design to control branch creation. Starting from the conditional approach introduced in where the choice of the split–variable and the split–value are divided into two different steps allowing an unbiased feature selection, in this work we introduce an energy based testing scheme to validate each of these phases. Energy methods are based on metrics s

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