Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 40 for “"classification tree"”.
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Classification Tree Models for Predicting Cancer Status
… logistic regression (with forward selection) and classification tree models were applied as statistical methods. Furthermore, complexity parameters and the number of bootstrap samples were varied to assess the effect on sensitivity and specificity. The receiver operating characteristic curves …
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Toward an intelligent classification-tree approach to problem-solving
The objective of this thesis is to design a new classification-tree algorithm which will outperform current algorithms with superior decision trees. The problem of generating a classification tree with the minimum path length is shown to be NP-complete. Therefore, there is no computationally …
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A global typology of cities : classification tree analysis of urban resource consumption
… profiles for 155 globally representative cities. Classification tree analysis was used to develop a model for determining how certain predictor (or independent) variables are related to levels of resource consumption. These predictor variables are: climate, city GDP, population, and population …
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Risk stratification of cardiovascular patients using a novel classification tree induction algorithm with non-symmetric entropy measures
… improve risk stratification. We propose a novel classification tree induction algorithm that uses non-symmetric entropy measures to construct classification trees. We apply our methods to the application of identifying patients at high risk of cardiovascular mortality. We tested our approach on a …
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Developing a data-driven model for dynamic reservoir operation using a combined hidden Markov-decision tree and classification tree algorithms
… This study extends the hidden-Markov-decision tree (HM-DT) model developed by Zhao and Cai (2020) and proposes a data-driven reservoir operation model (DROM). The HM-DT model is first applied to individual reservoirs to derive sets of representative operation modules. Then a module …
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Classification of semantic relations in different syntactic structures in medical text using the MeSH hierarchy
Two different classification algorithms are evaluated in recognizing semantic relationships of different syntactic compounds. The compounds, which include noun- noun, adjective-noun, noun-adjective, noun-verb, and verb-noun, were extracted from a set of doctors' notes using a part of speech tagger …
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Lung disease diagnosis from gene expression profiles
… well as a non-diseased phenotype, to train a classification tree scheme based on the Top Scoring Pair algorithm (Geman et al., Stat Appl Genet Mol Biol. 2004; 3: Article 19). The algorithm identified a 32 gene-pair panel that classified all of the phenotypes considered and another panel of 21 …
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Three Papers on Liberalization Policies in Developing and Transition Countries
… are captured by special interests. Nonparametric classification-tree and means analysis of privatization decisions in the telecommunications industry in developing countries suggests that deeper financial markets and government deficits help constrain political temptation to bargain with insiders."
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Creating a Criterion-Based Information Agent Through Data Mining for Automated Identification of Scholarly Research on the World Wide Web
… Web page with a set of criteria, and then uses a classification tree to arrive at a decision. The criteria were gathered from the literature on selecting print and electronic materials for academic libraries. A Delphi study was done with an international panel of librarians to expand and refine …
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Alternative Methodology To Household Activity Matching In TRANSIMS
… the households. With the use of CART algorithm a classification tree is built for the activity survey households based on some dependent and independent variables from the demographic data. The TRANSIMS model assumes activity times as dependent variables for building the classification tree. The …
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Development and assessment of remotely derived variables in current southern pine beetle (Dendroctonus frontalis Zimm.) hazard mapping in North Carolina, USA
… and the models were developed using the CART® classification tree approach. Two model-derived age classes (older than and younger than 22 years) were identified on the landscape using current Landsat 5 Thematic Mapper (TM) imagery chronosequences of disturbance index (DI) â transformed scenes …
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Data-driven modeling of hydroclimatic trends and soil moisture: multi-scale data integration and decision support
… For this reason, a national hydrological classification system is presented, allowing clusters of hydroclimatic similarity to emerge naturally from annual regime curve data and facilitate the development of cluster-specific algorithms. Given the desire to enable intelligent decision-making …
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Exploiting Overlapping Landsat Scene Classifications and Focal Context to Identify Boreal Disturbance Mapping Uncertainty
… This thesis identifies and flags areas of classification uncertainty within BorealDB and scrutinizes them to assess classification confidence. The focal context of all orthogonal neighbour states was quantified to feed classification tree (CT) and random forest (RF) classifiers to predict …
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Handgrip pattern recognition
… applied to these fingertip placements, and a classification tree was built to find the fingertip pattern for each subject. The dynamic analysis algorithm collected and measured 24 subjects' handgrip pressure waveforms during the trigger pulling stage. A handgrip recognition algorithm was …
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Neuropsychological, Psychological, and Injury Variables Associated with Post-Traumatic Stress Disorder in Individuals Who Suffered an Electrical Injury
… of subgroups within the context of the model. Classification tree analysis via Optimal Data Analysis determined the demographic and injury parameters, psychological, and neuropsychological factors associated with the development of PTSD in individuals post-EI. The strongest predictor of PTSD …
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Identifying Forest Conversion Hotspots in the Commonwealth of Virginia using Multitemporal Landsat Data and Known Change Indicators
… starts and other forest disturbances using a classification tree and only two variables from the Disturbance Detection and Diagnostics (D3) algorithm: the maximum NDVI in the available recovery period and the slope between the NDVI value at the time of the disturbance and the maximum NDVI in …
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Exploring the Employment Landscape for Individuals with Autism Spectrum Disorders using Supervised and Unsupervised Machine Learning
… transition into the world of work. A classification tree analysis was used with a sample of 236 caregivers of individuals with ASD or the individuals themselves, who completed an online survey. The analysis identified key factors in predicting successful employment for individuals 21 …
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Session-based Intrusion Detection System To Map Anomalous Network Traffic
… negative alarm rates in the process. We will use classification-tree techniques to accurately predict probable attack sessions. Overall, our goal is to model network traffic into network sessions and identify those network sessions that have a high-probability of being an attack and can be labeled …
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A Medium Resolution Land Cover Map of Africa
… resolution MODIS data have been used alongside classification tree and regression tree algorithms to produce a medium resolution land map of Africa. In doing this, 5 VCF maps were produced, and then thresholded to result in 9 broad land cover classes. The results show that the data and the …
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Comparison of Logistic Regression and Classification Trees to Forecast Short Term Defaults on Repeat Consumer Loans
… techniques, namely logistic regression and classification trees. Literature has shown logistic regression to perform better than classification trees in terms of predictiveness and robustness when forecasting consumer loan default events over standard twelve-month outcome periods. One of the …
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