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Dissertations / Theses on the topic 'Classification tree models'

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Published: 4 June 2021

Last updated: 11 February 2022

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1

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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2

Keller-Schmidt, Stephanie. "Stochastic Tree Models for Macroevolution." Doctoral thesis, Universitätsbibliothek Leipzig, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-96504.

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Phylogenetic trees capture the relationships between species and can be investigated by morphological and/or molecular data. When focusing on macroevolution, one considers the large-scale history of life with evolutionary changes affecting a single species of the entire clade leading to the enormous diversity of species obtained today. One major problem of biology is the explanation of this biodiversity. Therefore, one may ask which kind of macroevolutionary processes have given rise to observable tree shapes or patterns of species distribution which refers to the appearance of branching orde

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3

Shafi, Ghufran. "Development of roadway link screening criteria for microscale carbon monoxide and particulate matter conformity analyses through application of classification tree model." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/28222.

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Thesis (M. S.)--Civil and Environmental Engineering, Georgia Institute of Technology, 2008.<br>Committee Chair: Guensler, Randall; Committee Member: Rodgers, Michael; Committee Member: Russell, Armistead.

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Victors, Mason Lemoyne. "A Classification Tool for Predictive Data Analysis in Healthcare." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/5639.

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Hidden Markov Models (HMMs) have seen widespread use in a variety of applications ranging from speech recognition to gene prediction. While developed over forty years ago, they remain a standard tool for sequential data analysis. More recently, Latent Dirichlet Allocation (LDA) was developed and soon gained widespread popularity as a powerful topic analysis tool for text corpora. We thoroughly develop LDA and a generalization of HMMs and demonstrate the conjunctive use of both methods in predictive data analysis for health care problems. While these two tools (LDA and HMM) have been used in co

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5

Shew, Cameron Hunter. "TRANSFERABILITY AND ROBUSTNESS OF PREDICTIVE MODELS TO PROACTIVELY ASSESS REAL-TIME FREEWAY CRASH RISK." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/863.

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This thesis describes the development and evaluation of real-time crash risk assessment models for four freeway corridors, US-101 NB (northbound) and SB (southbound) as well as I-880 NB and SB. Crash data for these freeway segments for the 16-month period from January 2010 through April 2011 are used to link historical crash occurrences with real-time traffic patterns observed through loop detector data. The analysis techniques adopted for this study are logistic regression and classification trees, which are one of the most common data mining tools. The crash risk assessment models are develo

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Motloung, Rethabile Frangenie. "Understanding current and potential distribution of Australian acacia species in southern Africa." Diss., University of Pretoria, 2014. http://hdl.handle.net/2263/79720.

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This dissertation presents research on the value of using different sources of data to explore the factors determining invasiveness of introduced species. The research draws upon the availability of data on the historical trial plantings of alien species and other sources. The focus of the study is on Australian Acacia species as a taxon introduced into southern Africa (Lesotho, South Africa and Swaziland). The first component of the study focused on understanding the factors determining introduction outcome of species in historical trial plantings and invasion success of Australian Acac

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Mugodo, James, and n/a. "Plant species rarity and data restriction influence the prediction success of species distribution models." University of Canberra. Resource, Environmental & Heritage Sciences, 2002. http://erl.canberra.edu.au./public/adt-AUC20050530.112801.

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There is a growing need for accurate distribution data for both common and rare plant species for conservation planning and ecological research purposes. A database of more than 500 observations for nine tree species with different ecological and geographical distributions and a range of frequencies of occurrence in south-eastern New South Wales (Australia) was used to compare the predictive performance of logistic regression models, generalised additive models (GAMs) and classification tree models (CTMs) using different data restriction regimes and several model-building strategies. Environme

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8

Lazaridès, Ariane. "Classification trees for acoustic models : variations on a theme." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0016/MQ37139.pdf.

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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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Purcell, Terence S. "The use of classification trees to characterize the attrition process for Army manpower models." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1997. http://handle.dtic.mil/100.2/ADA336747.

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Silva, Jesús, Palma Hugo Hernández, Núẽz William Niebles, Alex Ruiz-Lazaro, and Noel Varela. "Natural Language Explanation Model for Decision Trees." Institute of Physics Publishing, 2020. http://hdl.handle.net/10757/652131.

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This study describes a model of explanations in natural language for classification decision trees. The explanations include global aspects of the classifier and local aspects of the classification of a particular instance. The proposal is implemented in the ExpliClas open source Web service [1], which in its current version operates on trees built with Weka and data sets with numerical attributes. The feasibility of the proposal is illustrated with two example cases, where the detailed explanation of the respective classification trees is shown.

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12

Udaya, Kumar Magesh Kumar. "Classification of Parkinson’s Disease using MultiPass Lvq,Logistic Model Tree,K-Star for Audio Data set : Classification of Parkinson Disease using Audio Dataset." Thesis, Högskolan Dalarna, Datateknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:du-5596.

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Parkinson's disease (PD) is a degenerative illness whose cardinal symptoms include rigidity, tremor, and slowness of movement. In addition to its widely recognized effects PD can have a profound effect on speech and voice.The speech symptoms most commonly demonstrated by patients with PD are reduced vocal loudness, monopitch, disruptions of voice quality, and abnormally fast rate of speech. This cluster of speech symptoms is often termed Hypokinetic Dysarthria.The disease can be difficult to diagnose accurately, especially in its early stages, due to this reason, automatic techniques based on

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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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Lim, Steven. "Recommending TEE-based Functions Using a Deep Learning Model." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/104999.

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Trusted execution environments (TEEs) are an emerging technology that provides a protected hardware environment for processing and storing sensitive information. By using TEEs, developers can bolster the security of software systems. However, incorporating TEE into existing software systems can be a costly and labor-intensive endeavor. Software maintenance—changing software after its initial release—is known to contribute the majority of the cost in the software development lifecycle. The first step of making use of a TEE requires that developers accurately identify which pieces of code would

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Truong, Alfred Kar Yin. "Fast growing and interpretable oblique trees via logistic regression models." Thesis, University of Oxford, 2009. http://ora.ox.ac.uk/objects/uuid:e0de0156-da01-4781-85c5-8213f5004f10.

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The classification tree is an attractive method for classification as the predictions it makes are more transparent than most other classifiers. The most widely accepted approaches to tree-growth use axis-parallel splits to partition continuous attributes. Since the interpretability of a tree diminishes as it grows larger, researchers have sought ways of growing trees with oblique splits as they are better able to partition observations. The focus of this thesis is to grow oblique trees in a fast and deterministic manner and to propose ways of making them more interpretable. Finding good obliq

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Linkevicius, Edgaras. "Single Tree Level Simulator for Lituanian Pine Forests." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-150330.

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Ziele Die Forsteinrichtung in Litauen war in den vergangenen Jahrzehnten vom Leitgedanken geprägt, die Optimierung der Bestandsdichte und die Maximierung der Produktivität in jeder Phase der Bestandsentwicklung als gleichrangige Ziele zu betrachten. Deshalb wurden große Anstrengungen in die Herleitung von Bestandswuchsmodellen für gleichaltrige Kiefern- oder Fichtenreinbestände gelegt. Bei der Anwendung dieser Modelle auf gemischte oder in der Umwandlung befindliche Wälder sind allerdings nur ungenaue Resultate zu erzielen. Um den Erfordernissen einer zeitgemäßen Forstwirtschaft gerecht zu wer

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Araya, Yeheyies. "Detecting Swiching Points and Mode of Transport from GPS Tracks." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-91320.

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In recent years, various researches are under progress to enhance the quality of the travel survey. These researches were mainly performed with the aid of GPS technology. Initially the researches were mainly focused on the vehicle travel mode due to the availability of GPS technology in vehicle. But, nowadays due to the accessible of GPS devices for personal uses, researchers have diverted their focus on personal mobility in all travel modes. This master’s thesis aimed at developing a mechanism to extract one type of travel survey information particularly travel mode from collected GPS dataset

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Lecuyer, Jean-Francois. "Comparison of classification trees and logistic regression to model the severity of collisions involving elderly drivers in Canada." Thesis, University of Ottawa (Canada), 2008. http://hdl.handle.net/10393/27700.

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The number of drivers aged 65 years and older in Canada and the proportion of the population these drivers represent have been increasing for many years and will continue to do so in years to come. This increase in the number of elderly drivers could possibly lead to an increase in the numbers of fatalities, serious injuries and collisions involving drivers of this age group[1]. In order to find ways to reduce the number of collisions involving elderly drivers, and in particular the number of fatalities among the victims of collisions involving drivers aged 65 years and older, the relationship

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Huang, Xuan. "Balance-guaranteed optimized tree with reject option for live fish recognition." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/9779.

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This thesis investigates the computer vision application of live fish recognition, which is needed in application scenarios where manual annotation is too expensive, when there are too many underwater videos. This system can assist ecological surveillance research, e.g. computing fish population statistics in the open sea. Some pre-processing procedures are employed to improve the recognition accuracy, and then 69 types of features are extracted. These features are a combination of colour, shape and texture properties in different parts of the fish such as tail/head/top/bottom, as well as the

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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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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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Meira, Carlos Alberto Alves. "Processo de descoberta de conhecimento em bases de dados para a analise e o alerta de doenças de culturas agricolas e sua aplicação na ferrugem do cafeeiro." [s.n.], 2008. http://repositorio.unicamp.br/jspui/handle/REPOSIP/257023.

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Orientador: Luiz Henrique Antunes Rodrigues<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Agricola<br>Made available in DSpace on 2018-08-11T10:02:19Z (GMT). No. of bitstreams: 1 Meira_CarlosAlbertoAlves_D.pdf: 2588338 bytes, checksum: 869cc28d2c71dbc901870285cc32d8f9 (MD5) Previous issue date: 2008<br>Resumo: Sistemas de alerta de doenças de plantas permitem racionalizar o uso de agrotóxicos, mas são pouco utilizados na prática. Complexidade dos modelos, dificuldade de obtenção dos dados necessários e custos para o agricultor estão entre as razões que inib

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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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Julock, Gregory Alan. "The Effectiveness of a Random Forests Model in Detecting Network-Based Buffer Overflow Attacks." NSUWorks, 2013. http://nsuworks.nova.edu/gscis_etd/190.

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Buffer Overflows are a common type of network intrusion attack that continue to plague the networked community. Unfortunately, this type of attack is not well detected with current data mining algorithms. This research investigated the use of Random Forests, an ensemble technique that creates multiple decision trees, and then votes for the best tree. The research Investigated Random Forests' effectiveness in detecting buffer overflows compared to other data mining methods such as CART and Naïve Bayes. Random Forests was used for variable reduction, cost sensitive classification was applied, an

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Moore, Cordelia Holly. "Defining and predicting species-environment relationships : understanding the spatial ecology of demersal fish communities." University of Western Australia. Faculty of Natural and Agricultural Sciences, 2009. http://theses.library.uwa.edu.au/adt-WU2010.0002.

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[Truncated abstract] The aim of this research was to define key species-environment relationships to better understand the spatial ecology of demersal fish. To help understand these relationships a combination of multivariate analyses, landscape analysis and species distribution models were employed. Of particular interest was to establish the scale at which these species respond to their environment. With recent high resolution surveying and mapping of the benthos in five of Victoria's Marine National Parks (MNPs), full coverage bathymetry, terrain data and accurate predicted benthic habitat

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Girard, Nathalie. "Vers une approche hybride mêlant arbre de classification et treillis de Galois pour de l'indexation d'images." Thesis, La Rochelle, 2013. http://www.theses.fr/2013LAROS402/document.

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La classification d'images s'articule généralement autour des deux étapes que sont l'étape d'extraction de signatures suivie de l'étape d'analyse des données extraites, ces dernières étant généralement quantitatives. De nombreux modèles de classification ont été proposés dans la littérature, le choix du modèle le plus adapté est souvent guidé par les performances en classification ainsi que la lisibilité du modèle. L'arbre de classification et le treillis de Galois sont deux modèles symboliques connus pour leur lisibilité. Dans sa thèse [Guillas 2007], Guillas a utilisé efficacement les treill

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Coelho, Fabrício Fernandes. "Comparação de métodos de mapeamento digital de solos através de variáveis geomorfométricas e sistemas de informações geográficas." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2010. http://hdl.handle.net/10183/25062.

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Mapas pedológicos são fontes de informações primordiais para planejamento e manejo de uso do solo, porém apresentam altos custos de produção. A fim de produzir mapas de solos a partir de mapas existentes, o presente trabalho objetiva testar e comparar métodos de classificação em estágio único (regressões logísticas múltiplas multinomiais e Bayes) e em estágios múltiplos (CART, J48 e LMT) com utilização de sistemas de informações geográficas e de variáveis geomorfométricas para produção de mapas pedológicos com legenda original e simplificada. A base de dados foi gerenciada em ambiente ArcGis o

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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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Caetano, Mateus 1983. "Modelos de classificação : aplicações no setor bancário." [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/306286.

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Orientadores: Antonio Carlos Moretti, Márcia Aparecida Gomes Ruggiero<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matemática Estatística e Computação Científica<br>Made available in DSpace on 2018-08-26T18:03:59Z (GMT). No. of bitstreams: 1 Caetano_Mateus_M.pdf: 1249293 bytes, checksum: f8adb755363291250261872ea756f58c (MD5) Previous issue date: 2015<br>Resumo: Técnicas para solucionar problemas de classificação têm aplicações em diversas áreas, como concessão de crédito, reconhecimento de imagens, detecção de SPAM, entre outras. É uma área de intensa pesquisa

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Sousa, Rogério Pereira de. "Classificação linear de bovinos: criação de um modelo de decisão baseado na conformação de tipo “true type” como auxiliar a tomada de decisão na seleção de bovinos leiteiros." Universidade do Vale do Rio dos Sinos, 2016. http://www.repositorio.jesuita.org.br/handle/UNISINOS/5896.

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Submitted by Silvana Teresinha Dornelles Studzinski (sstudzinski) on 2016-11-01T15:54:48Z No. of bitstreams: 1 Rogério Pereira de Sousa_.pdf: 946780 bytes, checksum: ceb6c981273e15ecc58fe661bd02a34a (MD5)<br>Made available in DSpace on 2016-11-01T15:54:48Z (GMT). No. of bitstreams: 1 Rogério Pereira de Sousa_.pdf: 946780 bytes, checksum: ceb6c981273e15ecc58fe661bd02a34a (MD5) Previous issue date: 2016-08-29<br>IFTO - Instituto Federal de Educação, Ciência e Tecnologia do Tocantins<br>A seleção de bovinos leiteiros, através da utilização do sistema de classificação com características lin

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Lin, Shu-Chuan. "Robust estimation for spatial models and the skill test for disease diagnosis." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26681.

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Thesis (Ph.D)--Industrial and Systems Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Lu, Jye-Chyi; Committee Co-Chair: Kvam, Paul; Committee Member: Mei, Yajun; Committee Member: Serban, Nicoleta; Committee Member: Vidakovic, Brani. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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Ataky, Steve Tsham Mpinda. "Análise de dados sequenciais heterogêneos baseada em árvore de decisão e modelos de Markov : aplicação na logística de transporte." Universidade Federal de São Carlos, 2015. https://repositorio.ufscar.br/handle/ufscar/7242.

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Submitted by Bruna Rodrigues (bruna92rodrigues@yahoo.com.br) on 2016-09-16T12:52:39Z No. of bitstreams: 1 DissSATM.pdf: 3079104 bytes, checksum: 51b46ffeb4387370e30fb92e31771606 (MD5)<br>Approved for entry into archive by Marina Freitas (marinapf@ufscar.br) on 2016-09-16T19:59:28Z (GMT) No. of bitstreams: 1 DissSATM.pdf: 3079104 bytes, checksum: 51b46ffeb4387370e30fb92e31771606 (MD5)<br>Approved for entry into archive by Marina Freitas (marinapf@ufscar.br) on 2016-09-16T19:59:34Z (GMT) No. of bitstreams: 1 DissSATM.pdf: 3079104 bytes, checksum: 51b46ffeb4387370e30fb92e31771606 (MD5)<br>Mad

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Peroutka, Lukáš. "Návrh a implementace Data Mining modelu v technologii MS SQL Server." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-199081.

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This thesis focuses on design and implementation of a data mining solution with real-world data. The task is analysed, processed and its results evaluated. The mined data set contains study records of students from University of Economics, Prague (VŠE) over the course of past three years. First part of the thesis focuses on theory of data mining, definition of the term, history and development of this particular field. Current best practices and meth-odology are described, as well as methods for determining the quality of data and methods for data pre-processing ahead of the actual data mining

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Cardoso, Diego Soares. "Política antitruste e sua consistência: uma análise das decisões do Sistema Brasileiro de Defesa da Concorrência relativas aos Atos de Concentração." Universidade Federal de São Carlos, 2013. https://repositorio.ufscar.br/handle/ufscar/2168.

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Made available in DSpace on 2016-06-02T19:33:12Z (GMT). No. of bitstreams: 1 CARDOSO_Diego_2013.pdf: 1706794 bytes, checksum: 52ad0ebf4915ad86f6ac9a9529176b01 (MD5) Previous issue date: 2013-05-20<br>Financiadora de Estudos e Projetos<br>The goal of competition policy, also known as antitrust policy, is promoting the welfare and economic efficiency by preserving fair competition in markets. Merger control is one of the main responsibilities of antitrust institutions. Prohibitions and restrictions of merger operations affect market structures, thus making these decisions relevant to economic

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Sutton-Charani, Nicolas. "Apprentissage à partir de données et de connaissances incertaines : application à la prédiction de la qualité du caoutchouc." Thesis, Compiègne, 2014. http://www.theses.fr/2014COMP1835/document.

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Pour l’apprentissage de modèles prédictifs, la qualité des données disponibles joue un rôle important quant à la fiabilité des prédictions obtenues. Ces données d’apprentissage ont, en pratique, l’inconvénient d’être très souvent imparfaites ou incertaines (imprécises, bruitées, etc). Ce travail de doctorat s’inscrit dans ce cadre où la théorie des fonctions de croyance est utilisée de manière à adapter des outils statistiques classiques aux données incertaines.Le modèle prédictif choisi est l’arbre de décision qui est un classifieur basique de l’intelligence artificielle mais qui est habituel

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Fearer, Todd Matthew. "Evaluating Population-Habitat Relationships of Forest Breeding Birds at Multiple Spatial and Temporal Scales Using Forest Inventory and Analysis Data." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/29243.

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Multiple studies have documented declines of forest breeding birds in the eastern United States, but the temporal and spatial scales of most studies limit inference regarding large scale bird-habitat trends. A potential solution to this challenge is integrating existing long-term datasets such as the U.S. Forest Service Forest Inventory and Analysis (FIA) program and U.S. Geological Survey Breeding Bird Survey (BBS) that span large geographic regions. The purposes of this study were to determine if FIA metrics can be related to BBS population indices at multiple spatial and temporal scales and

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Hu, Wenbiao. "Applications of Spatio-temporal Analytical Methods in Surveillance of Ross River Virus Disease." Queensland University of Technology, 2005. http://eprints.qut.edu.au/16109/.

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The incidence of many arboviral diseases is largely associated with social and environmental conditions. Ross River virus (RRV) is the most prevalent arboviral disease in Australia. It has long been recognised that the transmission pattern of RRV is sensitive to socio-ecological factors including climate variation, population movement, mosquito-density and vegetation types. This study aimed to assess the relationships between socio-environmental variability and the transmission of RRV using spatio-temporal analytic methods. Computerised data files of daily RRV disease cases and daily climatic

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Bretschneider, Jörg. "Ein wellenbasiertes stochastisches Modell zur Vorhersage der Erdbebenlast." Doctoral thesis, Technische Universität Dresden, 2006. https://tud.qucosa.de/id/qucosa%3A25000.

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Starke Erdbeben stellen weltweit ein hohes Risiko für urbane Zentren dar, dem unter anderem durch Methoden der aseismischen Bauwerksbemessung begegnet wird. Grundlage hierfür bilden Annahmen und Erfahrungswissen über die lokale seismische Bodenbeschleunigung, Grenzen sind hingegen durch die zusätzlichen Kosten gesetzt. Die Schadensbilanz der Starkbeben der letzten Jahre, auch in den Industrieländern, verdeutlicht die Notwendigkeit, die Konzepte und Methoden des erdbebensicheren Bauens weiter zu verfeinern. In dieser Arbeit wird ein neuer Ansatz zur stochastischen seismischen Lastmodellierung v

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Cabrol, Sébastien. "Les crises économiques et financières et les facteurs favorisant leur occurrence." Thesis, Paris 9, 2013. http://www.theses.fr/2013PA090019.

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Cette étude vise à mettre en lumière les différences et similarités existant entre les principales crises économiques et financières ayant frappé un échantillon de 21 pays avancés depuis 1981. Nous analyserons plus particulièrement la crise des subprimes que nous rapprocherons avec des épisodes antérieurs. Nous étudierons à la fois les années du déclenchement des turbulences (analyse typologique) ainsi que celles les précédant (prévision). Cette analyse sera fondée sur l’utilisation de la méthode CART (Classification And Regression Trees). Cette technique non linéaire et non paramétrique perme

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Jakel, Roland. "Lineare und nichtlineare Analyse hochdynamischer Einschlagvorgänge mit Creo Simulate und Abaqus/Explicit." Universitätsbibliothek Chemnitz, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-171812.

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Der Vortrag beschreibt wie sich mittels der unterschiedlichen Berechnungsverfahren zur Lösung dynamischer Strukturpobleme der Einschlag eines idealisierten Bruchstücks in eine Schutzwand berechnen lässt. Dies wird mittels zweier kommerzieller FEM-Programme beschrieben: a.) Creo Simulate nutzt zur Lösung die Methode der modalen Superposition, d.h., es können nur lineare dynamische Systeme mit rein modaler Dämpfung berechnet werden. Kontakt zwischen zwei Bauteilen lässt sich damit nicht erfassen. Die unbekannte Kraft-Zeit-Funktion des Einschlagvorganges muss also geeignet abgeschätzt und als äuß

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von, Wenckstern Michael. "Web applications using the Google Web Toolkit." Master's thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2013. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-115009.

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This diploma thesis describes how to create or convert traditional Java programs to desktop-like rich internet applications with the Google Web Toolkit. The Google Web Toolkit is an open source development environment, which translates Java code to browser and device independent HTML and JavaScript. Most of the GWT framework parts, including the Java to JavaScript compiler as well as important security issues of websites will be introduced. The famous Agricola board game will be implemented in the Model-View-Presenter pattern to show that complex user interfaces can be created with the Google

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Chen, Pu. "Classification tree models for predicting cancer status." 2009. http://digital.library.duq.edu/u?/etd,109505.

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Mistry, Pritesh, Daniel Neagu, Paul R. Trundle, and J. D. Vessey. "Using random forest and decision tree models for a new vehicle prediction approach in computational toxicology." 2015. http://hdl.handle.net/10454/7545.

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yes<br>Drug vehicles are chemical carriers that provide beneficial aid to the drugs they bear. Taking advantage of their favourable properties can potentially allow the safer use of drugs that are considered highly toxic. A means for vehicle selection without experimental trial would therefore be of benefit in saving time and money for the industry. Although machine learning is increasingly used in predictive toxicology, to our knowledge there is no reported work in using machine learning techniques to model drug-vehicle relationships for vehicle selection to minimise toxicity. In this paper w

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Manwani, Naresh. "Supervised Learning of Piecewise Linear Models." Thesis, 2012. http://hdl.handle.net/2005/3244.

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Supervised learning of piecewise linear models is a well studied problem in machine learning community. The key idea in piecewise linear modeling is to properly partition the input space and learn a linear model for every partition. Decision trees and regression trees are classic examples of piecewise linear models for classification and regression problems. The existing approaches for learning decision/regression trees can be broadly classified in to two classes, namely, fixed structure approaches and greedy approaches. In the fixed structure approaches, tree structure is fixed before hand by

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Liu, Hsin-hsien, and 劉欣憲. "A Study of the Application of the Procedure Analysis Method, the Classification Tree Method, and Artificial Neural Network Method to Construct the Authentication Models of the Roadway Accidents." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/15976300103018019953.

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碩士<br>逢甲大學<br>交通工程與管理所<br>94<br>The roadway traffic accidents are increasing yearly, and the clients of the traffic accident want to protect their own rights, so that the cases of traffic accidents need to be authenticated are increasing simultaneously. However, the Local Traffic Authentication Committee (LTAAC) is lack of manpower, and the quoted authentication criteria are inconsistent by the different LTAAC. Therefore, it results a delay and decreasing the quality of the authentication case. This study uses three methods such as the Procedural Authentication Method (PAM), the Classification

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Chang, Shou-Chih, and 張守智. "Model Trees for Hybrid Data Type Classification." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/92670263836027181618.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>92<br>Classification problem is a fundamental task in data mining. Many classification learning algorithms have been successfully developed for the different purposes. Most classification learning algorithms are only suitable for some specified attribute type of data. However, in the real world applications, we often encounter the hybrid datasets which are composed of nominal and numerical attributes. To apply the learning algorithms, some attributes must be transformed into the appropriate data types. This procedure could change the nature of datasets. In this thesi

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Jhang, Zao-Shih, and 張造時. "Variable Selection of Regression Trees and Node Model of Classification Trees." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/75500215236232826871.

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Wang, Chien-Jen, and 王建仁. "An Automatic Classification Model for Electronic Commerce Websites Utilizing Decision Tree." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/68134476733931044580.

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碩士<br>國立勤益科技大學<br>企業管理系<br>97<br>Due to the rise of Web 2.0 and the increase of Internet users in Taiwan, e-commerce has begun to prevail again in Taiwan after the dot-com crisis. Now, more and more consumers are willing to shop online, resulting in a huge growth of online shopping websites. In practice, administrators of these websites seldom sufficiently analyze the consumer behavior of their members and classify them only by a few criteria. Without accurate classification of members, marketing cannot effectively reach potential consumers. As a result, members’ repurchase rate can hardly be

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Lin, Guan-An, and 林冠安. "Sources of Volatility in Stock Returns: Application of Classification and Regression Tree Model." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/f6nb24.

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碩士<br>輔仁大學<br>金融與國際企業學系金融碩士班<br>104<br>This paper researches the relationship between the volatility of TAIEX's returns and the variables in macroeconomics、stock market and investors sentiment. We use the classification and regression tree by Breiman et. al in 1982 to find the key variables to impact the volatility of stock returns.Then further explore is to compare the result of regression analysis by using the regression tree's factor and all of the variables in this research.The data which we used is from January, 2001 to December, 2015 in Taiwan and total of 180 data. We use the autoregre

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