Relevant bibliographies by topics / Decision Tree Mode

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Decision Tree Mode'

Author: Grafiati
Published: 5 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Decision Tree Mode"

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Kang, Donggil, WenXing Yu, and HyungJun Cho. "Decision Tree for Mode Estimation." Korean Data Analysis Society 25, no. 3 (2023): 903–11. http://dx.doi.org/10.37727/jkdas.2023.25.3.903.

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Decision trees are one of the data mining techniques that make predictions by recursively partitioning data structures based on split rules. Since the analysis results can be understood through the tree structure, it has the advantage of having high interpretation power as well as predictive power. In addition, it is used in many fields because it is able to identify nonlinear relationships between response and predictor variables. However, if the purpose of it is to predict the mode of the response variable, there is a limitation in that the previously proposed decision tree cannot be applied
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Syafitri, Nesi, Syarifah Farradinna, Wella Jayanti, and Yudhi Arta. "MACHINE LEARNING TO CREATE DECISION TREE MODEL TO PREDICT OUTCOME OF ENTERPRENEURSHIP PSYCHOLOGICAL READINESS (EPR)." Jurnal Teknik Informatika (Jutif) 4, no. 2 (2023): 381–90. http://dx.doi.org/10.52436/1.jutif.2023.4.2.590.

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This study aims to create a decision tree model using machine learning to predict psychological readiness for entrepreneurship in college graduates. This research was conducted through several stages of research. In the early stages, a survey was conducted on 700 students from several universities in Riau aged between 17-25 years. The survey was conducted using the Entrepreneur Psychology Readiness (EPR) instrument. Furthermore, the survey data was validated and obtained 604 valid data to be used in forming machine learning models The urgency of this research is to find a number of decision ru
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Li, Hongchan, Peng Zhang, Baohua Jin, and Qiuwen Zhang. "Fast CU Decision Algorithm Based on CNN and Decision Trees for VVC." Electronics 12, no. 14 (2023): 3053. http://dx.doi.org/10.3390/electronics12143053.

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Compared with the previous generation of High Efficiency Video Coding (HEVC), Versatile Video Coding (VVC) introduces a quadtree and multi-type tree (QTMT) partition structure with nested multi-class trees so that the coding unit (CU) partition can better match the video texture features. This partition structure makes the compression efficiency of VVC significantly improved, but the computational complexity is also significantly increased, resulting in an increase in encoding time. Therefore, we propose a fast CU partition decision algorithm based on DenseNet network and decision tree (DT) cl
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Li, Ye, Zhihao He, and Qiuwen Zhang. "Fast Decision-Tree-Based Series Partitioning and Mode Prediction Termination Algorithm for H.266/VVC." Electronics 13, no. 7 (2024): 1250. http://dx.doi.org/10.3390/electronics13071250.

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With the advancement of network technology, multimedia videos have emerged as a crucial channel for individuals to access external information, owing to their realistic and intuitive effects. In the presence of high frame rate and high dynamic range videos, the coding efficiency of high-efficiency video coding (HEVC) falls short of meeting the storage and transmission demands of the video content. Therefore, versatile video coding (VVC) introduces a nested quadtree plus multi-type tree (QTMT) segmentation structure based on the HEVC standard, while also expanding the intra-prediction modes fro
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Diao, Yuzhu, and Qing Zhang. "Optimization of Management Mode of Small- and Medium-Sized Enterprises Based on Decision Tree Model." Journal of Mathematics 2021 (December 17, 2021): 1–9. http://dx.doi.org/10.1155/2021/2815086.

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Decision tree algorithm is a common classification algorithm in data mining technology, and its results are usually expressed in the form of if-then rules. The C4.5 algorithm is one of the decision tree algorithms, which has the advantages of easy to understand and high accuracy, and the concept of information gain rate is added compared with its predecessor ID3 algorithm. After theoretical analysis, C4.5 algorithm is chosen to analyze the performance appraisal results, and the decision tree for performance appraisal is generated by collecting data, data preprocessing, calculating information
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Chen, Wenzheng, Guanglei Yang, and Dongkai Qi. "Comprehensive Evaluation of College Students’ Physical Health and Sports Mode Recommendation Model Based on Decision Tree Classification Model." Computational Intelligence and Neuroscience 2022 (July 22, 2022): 1–8. http://dx.doi.org/10.1155/2022/5504850.

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Nowadays, more and more college students’ physical health is getting worse because of their living habits and self-consciousness. In order to improve the physical quality of college students as much as possible, the experiment uses the improved iterative dichotomiser III (ID3) decision tree to make decisions on the physical condition of some college students and the corresponding sports mode recommendation, and compares the results with the traditional ID3 algorithm. In the experimental results, the information entropy ratio of the improved ID3 algorithm is 89.5%, the operation information los
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Basak, Jayanta. "Online Adaptive Decision Trees." Neural Computation 16, no. 9 (2004): 1959–81. http://dx.doi.org/10.1162/0899766041336396.

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Decision trees and neural networks are widely used tools for pattern classification. Decision trees provide highly localized representation, whereas neural networks provide a distributed but compact representation of the decision space. Decision trees cannot be induced in the online mode, and they are not adaptive to changing environment, whereas neural networks are inherently capable of online learning and adpativity. Here we provide a classification scheme called online adaptive decision trees (OADT), which is a tree-structured network like the decision trees and capable of online learning l
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Huang, Pingge. "Construction of College Chinese Blended Teaching Mode Based on Decision Tree Classification Model in New Media Context." Computational Intelligence and Neuroscience 2022 (September 26, 2022): 1–10. http://dx.doi.org/10.1155/2022/4608631.

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Based on the context of new media and big data, this article uses the decision tree classification model to construct the college Chinese hybrid teaching mode. In order to verify the accuracy of ID3 algorithm prediction, the comparison of the ID3 algorithm, K-means algorithm, and support vector machine classification algorithm was made, and the experimental results show that the ID3 decision tree classification algorithm has better prediction and classification ability, for the construction of college Chinese hybrid teaching mode provides certain practical value and reference basis.
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Burduk, Robert, and Michal Wozniak. "Different decision tree induction strategies for a medical decision problem." Open Medicine 7, no. 2 (2012): 183–93. http://dx.doi.org/10.2478/s11536-011-0142-x.

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AbstractThe paper presents a comparative study of selected recognition methods for the medical decision problem -acute abdominal pain diagnosis. We consider if it is worth using expert knowledge and learning set at the same time. The article shows two groups of decision tree approaches to the problem under consideration. The first does not use expert knowledge and generates classifier only on the basis of learning set. The second approach utilizes expert knowledge for specifying the decision tree structure and learning set for determining mode of decision making in each node based on Bayes dec
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Chasani, Paraskevi, and Aristidis Likas. "Unsupervised Decision Trees for Axis Unimodal Clustering." Information 15, no. 11 (2024): 704. http://dx.doi.org/10.3390/info15110704.

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The use of decision trees for obtaining and representing clustering solutions is advantageous, due to their interpretability property. We propose a method called Decision Trees for Axis Unimodal Clustering (DTAUC), which constructs unsupervised binary decision trees for clustering by exploiting the concept of unimodality. Unimodality is a key property indicating the grouping behavior of data around a single density mode. Our approach is based on the notion of an axis unimodal cluster: a cluster where all features are unimodal, i.e., the set of values of each feature is unimodal as decided by a
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Dissertations / Theses on the topic "Decision Tree Mode"

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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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Silva, Denise Capasso da. "Violence, security perception and mode choice on trips to and from a university campus." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/18/18144/tde-04102017-153723/.

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This dissertation addresses the validation of the hypothesis there is a general sense that violence and security perception influence the use of sustainable travel modes. The research characterizes the issue of security perception among University of São Paulo (Brazil) users and identifies the way the sense of security and violence occurrences are related to the travel mode choice. An online survey on security perception and the way its participants access the campus was conducted. The target relationships were explored by Decision Tree (DT) algorithms. An initial exploratory analysis revealed
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CECCATO, RICCARDO. "Switching intentions towards car sharing - Analysis of the relationship with traditional transport modes." Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2840371.

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Lee, Hong, and 李匡. "Model-based decision trees for ranking data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45149707.

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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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Kyselý, Ondřej. "Alokační model projektu Miss Sport." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-75197.

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The goal of the diploma thesis is to create allocation model for Miss Sport project. This project is a platform, which allows effective association of sponsors and female athletes, who are members of the project. It results in decision tree, whose biggest advantage is in transparency and rate of decision making. One of the objectives is to analyze most important criteria, which are necessary to segment female athletes. One part is a list of aspects, which are important to sponsorship, but they are not included in allocation model directly. Research target is focused on evaluation of attractive
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Geltz, Becky. "Using data mining to model student success /." Connect to resource online, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1264697709.

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Гриценко, Костянтин Григорович, Константин Григорьевич Гриценко, and Kostiantyn Hryhorovych Hrytsenko. "Simulation of Scoring of the Bank’s Borrowers Creditworthiness." Thesis, Sumy State University, 2018. https://essuir.sumdu.edu.ua/handle/123456789/80618.

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Розглянуто основні принципи кредитного скорингу. Наведено характеристики позичальників банку, використані при побудові моделей логістичної регресії, дерева рішень та нейронної мережі. Проведено вибір найякіснішої моделі<br>Рассмотрены основные принципы кредитного скоринга. Приведены характеристики заемщиков банка, использованные при построении моделей логистической регрессии, деревья решений и нейронной сети. Проведен выбор наиболее качественной модели<br>The advantages of credit scoring are considered. The characteristics of bank borrowers used in the construction of logit model, decision tre
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Monjaras, Alvaro, Enrique Bcndezu, and Carlos Raymundo. "Decision Tree Model to Support the Successful Selection of a Database Engine for Novice Database Administrators." Institute of Electrical and Electronics Engineers Inc, 2019. http://hdl.handle.net/10757/656346.

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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.<br>There are currently several types of databases that have different ways of manipulating data that affects the performance of transactions when dealing with the information stored. And it is very important for companies to manage information fast, so they do not lose any operation because of a bad performance of a database, in the same way, they need to operate fast while keeping the integrity of the information. Likewise, every database categor
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Gálvez, Chambilla Melissa Beatriz, and Cornejo Katherine Briggite Flores. "Modelo predictivo de deserción universitaria de la carrera de Ingeniería Informática en la Universidad Ricardo Palma." Bachelor's thesis, Universidad Ricardo Palma, 2015. http://cybertesis.urp.edu.pe/handle/urp/1272.

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La deserción universitaria se ha convertido en un problema importante a ser investigado. La tasa de deserción ha llegado a constituir uno de los principales indicadores de eficiencia interna dentro de cualquier institución de educación. Investigar las causas de la deserción con metodologías adecuadas que permitan predecir esta, contribuye a la toma de decisiones dentro de la gestión de la unidad académica. El objetivo del presente proyecto consiste en investigar y proponer una metodología que permita identificar en forma automática a los estudiantes con mayor riesgo de deserción de las carrer
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Books on the topic "Decision Tree Mode"

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Randall, William D. Software reusability: A decision tree model. 1988.

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Dalton, Heidi J., Mark Davidson, and Peter P. Roeleveld. Extracorporeal Life Support. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199918027.003.0002.

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Extracorporeal membrane oxygenation (ECMO) can provide support as a bridge to recovery or a bridge to more definitive therapy for patients with severe respiratory or cardiorespiratory disease. In this chapter, the criteria for ECMO are discussed and a practical decision tree for mode of ECMO (venovenous or venoarterial) is presented. A stepwise approach to initiation and management of ECMO for the patient is described, including flow rate goals, ventilator management, anticoagulation, blood product replacement, identification of recovery, weaning procedures, and specific issues relating to the
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Improved Decision-making in Data Mining: A Heuristic Rule Induction Approach to Decision Tree Creation and Model Selection. VDM Verlag Dr. Müller, 2008.

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Bacon, Andrew. Vagueness and Decision. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198712060.003.0009.

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If linguistic vagueness is more fundamental than propositional vagueness, it is natural to think that vague propositions won’t play a substantive role in decision theory. On a linguistic picture, what it is rational for an agent to do is completely determined by their attitudes towards precise propositions. This is vacuously true if all propositions are precise, but it also seems like a natural idea if, like the expressivist discussed in Chapter 8, a distinction is drawn between metaphysically ‘first-rate’ precise propositions and metaphysically ‘second-rate’ vague propositions. This chapter c
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Basu, Sanjay. Value. Edited by Sanjay Basu. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190667924.003.0002.

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This chapter seeks to answer the question: how much should we pay for a public health program? We often have to decide how to allocate funds to different public health programs or decide whether a new medical test or treatment is worth the cost. How can we make such decisions fairly? The author first works through some examples of commonly used decision trees to make these judgments in a rigorous and fair way. Some decision trees are used to solve value of information problems, which are used to perform cost-benefit analysis to determine whether we want to pay for a new service, test, or treat
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Brink, David O. The Path to Completion. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198805601.003.0010.

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Attempted wrongdoing is wrong and deserves censure and sanction, provided the agent was responsible for her attempt. One conception of attempts, incorporated in the criminal law, treats them as bivalent. The important question is at what point in an agent’s planning, preparation, and execution of an offense the attempt is completed. However, bivalence fails to recognize partially complete attempts and is unable to give a satisfying account of the criminal law defense of abandonment. This essay explores an alternative conception of attempts as historical and scalar. On this view, attempts invol
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Salguero-Gomez, Roberto, and Marlène Gamelon, eds. Demographic Methods across the Tree of Life. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198838609.001.0001.

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Demography is everywhere in our lives: from birth to death. Demography shapes our daily decisions, as well as the decisions that others make on us (e.g. bank loans, retirement age). Demography is everywhere across the Tree of Life. The universal currencies of demography—survival, development, reproduction, and recruitment—shape the performance of all species, from lions to dandelions. The omnipresence of demography in all things alive and dead, and its multiple applications to better understand the ecology, evolution, and conservation/management of species, allows us to—in principle—apply the
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Eck, Werner. The Emperor, the Law and Imperial Administration. Edited by Paul J. du Plessis, Clifford Ando, and Kaius Tuori. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780198728689.013.8.

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The political space and administrative apparatus of the Imperial government were legally stipulated and enclosed. Politics and administration had to follow the rules of the ius publicum. This was true for traditional magistrates and promagistrates as well as non-senatorial office holders, the praesidial and financial procurators of equestrian rank. The chapter surveys the potential means by which Augustus and his successors might settle problems of society or of general administration or address them for the future through new legal enactments. During the first century AD, lawmaking through on
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Cumming, Jonathan A., and Michael Goldstein. Bayesian analysis and decisions in nuclear power plant maintenance. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.9.

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This article discusses the results of a study in Bayesian analysis and decision making in the maintenance and reliability of nuclear power plants. It demonstrates the use of Bayesian parametric and semiparametric methodology to analyse the failure times of components that belong to an auxiliary feedwater system in a nuclear power plant at the South Texas Project (STP) Electric Generation Station. The parametric models produce estimates of the hazard functions that are compared to the output from a mixture of Polya trees model. The statistical output is used as the most critical input in a stoc
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Sugden, Robert. The Inner Rational Agent. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198825142.003.0004.

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Chapter 4 reviews ‘behavioural welfare economics’—the approach to normative analysis that is favoured by most behavioural economists. This approach assumes that people have context-independent ‘true’ or ‘latent’ preferences which, because of psychologically-induced errors, are not always revealed in actual choices. Behavioural welfare economics aims to reconstruct latent preferences by identifying and removing the effects of error on decisions, and to design policies to satisfy those preferences. Its implicit model of human agency is of an ‘inner rational agent’ that interacts with the world t
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Book chapters on the topic "Decision Tree Mode"

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Karabadji, Nour El Islem, Hassina Seridi, Ilyes Khelf, and Lakhdar Laouar. "Decision Tree Selection in an Industrial Machine Fault Diagnostics." In Model and Data Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33609-6_13.

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Lee, Cheng-Few, John Lee, Jow-Ran Chang, and Tzu Tai. "Binomial Option Pricing Model Decision Tree Approach." In Essentials of Excel, Excel VBA, SAS and Minitab for Statistical and Financial Analyses. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-38867-0_25.

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Edlin, Richard, Christopher McCabe, Claire Hulme, Peter Hall, and Judy Wright. "Building a Decision Tree Cost Effectiveness Model." In Cost Effectiveness Modelling for Health Technology Assessment. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15744-3_3.

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Lee, John, Jow-Ran Chang, Lie-Jane Kao, and Cheng-Few Lee. "Binomial Option Pricing Model Decision Tree Approach." In Essentials of Excel VBA, Python, and R. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-14283-3_5.

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Han, Jianchao, Juan C. Rodriguez, and Mohsen Beheshti. "Discovering Decision Tree Based Diabetes Prediction Model." In Advances in Software Engineering. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10242-4_9.

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Yıldız, Olcay Taner, and Ethem Alpaydın. "Model Selection in Omnivariate Decision Trees." In Machine Learning: ECML 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11564096_45.

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Wahiba, Ben Abdessalam, and Ben El Fadhl Ahmed. "New Fuzzy Decision Tree Model for Text Classification." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26690-9_28.

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Fu, Xin, Dong Wang, and Hengcai Zhang. "Identifying Transportation Modes Using Gradient Boosting Decision Tree." In Intelligent Computing Theories and Application. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95933-7_63.

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Minz, Sonajharia, and Rajni Jain. "Rough Set Based Decision Tree Model for Classification." In Data Warehousing and Knowledge Discovery. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45228-7_18.

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D. M., Basavarajaiah, and Bhamidipati Narasimha Murthy. "Random Forest and Concept of Decision Tree Model." In Design of Experiments and Advanced Statistical Techniques in Clinical Research. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8210-3_3.

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Conference papers on the topic "Decision Tree Mode"

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Lynh, Duong Huyen, and Tran Hai Nam. "Empowering Die Selection in V-Bending: Insights from Decision Tree Algorithms." In 2024 International Conference on Machining, Materials and Mechanical Technologies. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-epv4bq.

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This study presents the application of tree-based algorithms to predict springback in the V-bending process of sheet metals, particularly for SUS304 material. V-bending, a critical process in metal forming, often faces challenges due to springback, which affects dimensional accuracy and product quality. Using virtual experiments conducted via ANSYS software, the study evaluates the influence of variables such as die angle, die radius, material thickness, and punch displacement on springback. Four tree-based algorithms—Decision Trees, Random Forest, Gradient Boosting Machines (GBM), and Extra T
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Gu, Bill, Richard Kania, Ming Gao, and Wayne Feil. "Development of SCC Susceptibility Model Using Decision Tree Approach." In CORROSION 2005. NACE International, 2005. https://doi.org/10.5006/c2005-05479.

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Abstract Stress corrosion cracking (SCC) on pipelines has been extensively studied over the past three to four decades. Various models have been developed to predict where and how fast SCC occurs on pipelines. However, due to the complexity of SCC, no general models are currently available to accurately predict SCC on pipelines. Models developed based on operating experience for one geographic location has often performed poorly in another region. For example, the SCC soils model developed in the past predicts that low-pH SCC will occur in poorly drained, anaerobic soils; however, in the same
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Yasenjiang Jiarula, Jianmin Gao, Zhiyong Gao, Hongquan Jiang, and Rongxi Wang. "Fault mode prediction based on decision tree." In 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC). IEEE, 2016. http://dx.doi.org/10.1109/imcec.2016.7867514.

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Li, Fa-chao, and Fei Guan. "Heuristic Mode Research and Application of Decision Tree Algorithm." In 2010 International Conference on Multimedia Technology (ICMT). IEEE, 2010. http://dx.doi.org/10.1109/icmult.2010.5631489.

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Kim, Jong Kyu, Seung Seop Park, Chang Woo Han, and Nam Soo Kim. "Decision tree based frame mode selection for AMR-WB+." In Interspeech 2008. ISCA, 2008. http://dx.doi.org/10.21437/interspeech.2008-219.

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Hou, Jing, and Lindu Zhao. "Logistics service mode selection based on decision-tree model and grey multi-criteria risk decision-making method." In 2007 IEEE International Conference on Grey Systems and Intelligent Services. IEEE, 2007. http://dx.doi.org/10.1109/gsis.2007.4443388.

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da Silva, Thaisa Leal, Luis A. da Silva Cruz, and Luciano V. Agostini. "HEVC intra mode decision acceleration based on tree depth levels relationship." In 2013 Picture Coding Symposium (PCS). IEEE, 2013. http://dx.doi.org/10.1109/pcs.2013.6737737.

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Pavan Kumar, G., and G. Sreelekha. "Fast SCC in HEVC using a Palette Mode Decision Tree Classifier." In 2020 International Conference on Communication and Signal Processing (ICCSP). IEEE, 2020. http://dx.doi.org/10.1109/iccsp48568.2020.9182212.

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Jia, Huang, and Zhang Ning. "Analysis of Transfer Mode of Airport Passengers Based on Decision Tree." In 2008 International Workshop on Modelling, Simulation and Optimization (WMSO). IEEE, 2008. http://dx.doi.org/10.1109/wmso.2008.11.

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Safitri, Dian Mardi, and Isti Surjandari. "Travel mode switching prediction using decision tree in Jakarta greater area." In 2017 International Conference on Information Technology Systems and Innovation (ICITSI). IEEE, 2017. http://dx.doi.org/10.1109/icitsi.2017.8267951.

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Reports on the topic "Decision Tree Mode"

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Kwon, Theresa Hyunjin, Erin Cho, and Youn-Kyung Kim. Identifying Sustainable Style Consumers with Decision Tree Predictive Model. Iowa State University, Digital Repository, 2016. http://dx.doi.org/10.31274/itaa_proceedings-180814-1366.

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Song, So Young, Erin Cho, Youn-Kyung Kim, and Theresa Hyunjin Kwon. Clothing Communication via Social Media: A Decision Tree Predictive Model. Iowa State University, Digital Repository, 2015. http://dx.doi.org/10.31274/itaa_proceedings-180814-102.

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Zaman, Md Mostafa, Theresa Hyunjin Kwon, Katrina Laemmerhirt, and Youn-Kyung Kim. Profiling Second-hand Clothing Shoppers with Decision Tree Predictive Model. Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-407.

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van den Berg, F., A. Tiktak, T. Hoogland, et al. An improved soil organic matter map for GeoPEARL_NL : Model description of version 4.4.4 and consequence for the Dutch decision tree on leaching to groundwater. Wageningen Environmental Research, 2017. http://dx.doi.org/10.18174/424920.

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Harter, Rachel M., Pinliang (Patrick) Chen, Joseph P. McMichael, Edgardo S. Cureg, Samson A. Adeshiyan, and Katherine B. Morton. Constructing Strata of Primary Sampling Units for the Residential Energy Consumption Survey. RTI Press, 2017. http://dx.doi.org/10.3768/rtipress.2017.op.0041.1705.

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The 2015 Residential Energy Consumption Survey design called for stratification of primary sampling units to improve estimation. Two methods of defining strata from multiple stratification variables were proposed, leading to this investigation. All stratification methods use stratification variables available for the entire frame. We reviewed textbook guidance on the general principles and desirable properties of stratification variables and the assumptions on which the two methods were based. Using principal components combined with cluster analysis on the stratification variables to define s
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Fessel, Kimberly. Machine Learning Essentials (Free Seminar). Instats Inc., 2024. http://dx.doi.org/10.61700/l6x4izy1bov9p1764.

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This comprehensive one-hour seminar provides PhD students, academics, and professional researchers with fundamental insights into machine learning concepts, crucial for modern data analysis in many disciplines. Led by data science expert Dr Kimberly Fessel, participants will explore key topics such as supervised and unsupervised learning, model performance (under- vs. overfitting), and popular algorithms like linear and logistic regression, decision trees, and neural networks.
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Sanders, Suzanne, and Jessica Kirschbaum. Forest health monitoring at Mississippi National River and Recreation Area: 2022 field season. National Park Service, 2023. http://dx.doi.org/10.36967/2301407.

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The Mississippi National River and Recreation area (MISS), situated along a 116 km stretch of the Mississippi River through the Minneapolis and St. Paul urban corridor, encompasses ~21,800 ha of public and private land. In 2022, the Great Lakes Inventory and Monitoring Network (GLKN) resampled permanent forest monitoring sites in the park, marking the second assessment of these sites, which were established and initially sampled in 2011. The goal of this long-term monitoring project is to provides managers with routine updates on which to base management decisions; these data can also be used
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Giovando, Jeremy, Wyatt Reis, Rose Shillito, et al. Post-wildfire curve number estimates for the Southern Rocky Mountains in Colorado, USA. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48652.

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The curve number method first developed by the US Department of Agriculture Soil Conservation Service (now the Natural Resources Conservation Service) is often used for post-wildfire runoff assessments. These assessments are critical for land and emergency managers making decisions on life and property risks following a wildfire event. Three approaches (i.e., historical event observations, linear regression model, and regression tree model) were used to help estimate a post-wildfire curve number from watershed and wildfire parameters. For the first method, we used runoff events from 102 burned
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Corriveau, Elizabeth, and Jay Clausen. Application of Incremental Sampling Methodology for subsurface sampling. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40480.

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Historically, researchers studying contaminated sites have used grab sampling to collect soil samples. However, this methodology can introduce error in the analysis because it does not account for the wide variations of contaminant concentrations in soil. An alternative method is the Incremental Sampling Methodology (ISM), which previous studies have shown more accurately captures the true concentration of contaminants over an area, even in heterogeneous soils. This report describes the methods and materials used with ISM to collect soil samples, specifically for the purpose of mapping subsurf
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Contreras Salamanca, Luz Briyid, and Yon Garzón Ávila. Generational Lagging of Dignitaries, Main Cause of Technological Gaps in Community Leaders. Analysis of Generation X and Boomers from the Technology Acceptance Model. Universidad Nacional Abierta y a Distancia, 2021. http://dx.doi.org/10.22490/ecacen.4709.

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Community and neighborhood organizations are in the process of renewing the organizational culture, considering technological environments in the way of training, and advancing communally, being competitive in adaptation and learning, creating new solutions, promoting change, and altering the status quo, based on the advancement of technology over the last few years, currently applied in most organizations. The decisive factor is the ability of true leaders to appropriate the Technological Acceptance Model –TAM– principles, participating in programs and projects, adopting new technologies from
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